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Anomaly Detection in Smart Manufacturing with an Application Focus on Robotic Finishing Systems: A Review [article]

Tareq Tayeh, Abdallah Shami
<span title="2021-07-13">2021</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
As systems in smart manufacturing become increasingly complex, producing an abundance of data, the potential for production failures becomes increasingly more likely.  ...  In this paper, an overview of the components, benefits, challenges, methods, and open problems of anomaly detection in smart manufacturing and robotic finishing systems are discussed.  ...  Time series analysis is a statistical technique for analyzing this time series data, which enables time series models to be built to obtain an understanding of the underlying nature of the time series  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2107.05053v2">arXiv:2107.05053v2</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/ct7hofnyr5e33f4g5sl5mvjt6q">fatcat:ct7hofnyr5e33f4g5sl5mvjt6q</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210715210322/https://arxiv.org/pdf/2107.05053v2.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/4f/ce/4fcefed5c4d065168012b7752ebb0525350615ad.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2107.05053v2" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

Analyzing high-dimensional multivaríate network links with integrated anomaly detection, highlighting and exploration

Sungahnn Ko, Shehzad Afzal, Simon Walton, Yang Yang, Junghoon Chae, Abish Malik, Yun Jang, Min Chen, David Ebert
<span title="">2014</span> <i title="IEEE"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/kuoffmnqkvak5ckkro4rt6dxpa" style="color: black;">2014 IEEE Conference on Visual Analytics Science and Technology (VAST)</a> </i> &nbsp;
Due to the scale and complexity of the data, it is essential to integrate techniques for data analysis, visualization, and exploration.  ...  Such data types are commonly encountered in transportation, shipping, and logistics industries.  ...  MULTIVARIATE NETWORK VISUALIZATION To effectively reveal as many aspects of the data characteristics as possible, we explore the data in a series of linked visualizations.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/vast.2014.7042484">doi:10.1109/vast.2014.7042484</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/ieeevast/KoAWYCMJCE14.html">dblp:conf/ieeevast/KoAWYCMJCE14</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/mcst7vrqyffglfuqyl7qgtavt4">fatcat:mcst7vrqyffglfuqyl7qgtavt4</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170809144138/http://pixel.ecn.purdue.edu:8080/~ko/FDVIS.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/4d/99/4d99ad747451f0766c0117f5145964def5e48b78.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/vast.2014.7042484"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> ieee.com </button> </a>

Deep Learning for Anomaly Detection in Time-Series Data: Review, Analysis, and Guidelines

Kukjin Choi, Jihun Yi, Changhwa Park, Sungroh Yoon
<span title="">2021</span> <i title="Institute of Electrical and Electronics Engineers (IEEE)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/q7qi7j4ckfac7ehf3mjbso4hne" style="color: black;">IEEE Access</a> </i> &nbsp;
Anomaly detection in multivariate time series data poses a particular challenge because it requires simultaneous consideration of temporal dependencies and relationships between variables.  ...  This review provides a background on anomaly detection in time-series data and reviews the latest applications in the real world.  ...  identify anomalies in multivariate time series.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/access.2021.3107975">doi:10.1109/access.2021.3107975</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/yrlegcnsy5d47ds3vgbzq64qcu">fatcat:yrlegcnsy5d47ds3vgbzq64qcu</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20211010161235/https://ieeexplore.ieee.org/ielx7/6287639/9312710/09523565.pdf?tp=&amp;arnumber=9523565&amp;isnumber=9312710&amp;ref=" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/34/42/344228e03406c7078ab917773c111f4903fde5a1.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/access.2021.3107975"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> ieee.com </button> </a>

A Decision Support System for Emergency Flood Embankment Stability

Magdalena Habrat, Michał Lupa, Monika Chuchro, Andrzej Leśniak
<span title="">2015</span> <i title="Elsevier BV"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/cx3f4s3qmfe6bg4qvuy2cxezyu" style="color: black;">Procedia Computer Science</a> </i> &nbsp;
This article presents a concept of decision support system for emergency flood embankment stability.  ...  The proposed methodology is based on the analysis of data from both a flood embankment measurement network and generated through numerical modeling.  ...  Acknowledgments This work is financed by the National Centre for Research and Development (NCBiR), Poland, project PBS1/B9/18/2013 -(no 180535).  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.procs.2015.05.495">doi:10.1016/j.procs.2015.05.495</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/fuoe7kb76bc6rffvgfvrxufl5y">fatcat:fuoe7kb76bc6rffvgfvrxufl5y</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20171001094315/http://publisher-connector.core.ac.uk/resourcesync/data/elsevier/pdf/a0c/aHR0cDovL2FwaS5lbHNldmllci5jb20vY29udGVudC9hcnRpY2xlL3BpaS9zMTg3NzA1MDkxNTAxMzAzNA%3D%3D.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/81/7f/817fc41cff27e5471bdc15632a244d8f0cd49a25.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.procs.2015.05.495"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> elsevier.com </button> </a>

Multivariate Detection of Transient Disturbances for Uni- and Multirate Systems

Ines M. Cecilio, James R. Ottewill, Harald Fretheim, Nina F. Thornhill
<span title="">2015</span> <i title="Institute of Electrical and Electronics Engineers (IEEE)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/w55uhp5h3rdubpws6c5kic4vxm" style="color: black;">IEEE Transactions on Control Systems Technology</a> </i> &nbsp;
The motivation for these developments is that there is an increasing industrial requirement for the analysis of data sets comprising measurements from industrial processes together with their associated  ...  That paper explored the performance of the nearest neighbors method in depth and proposed default parameters which optimized it for a wide range of cases.  ...  Rapp of ABB A.S. for providing data and process insights to support this paper.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/tcst.2014.2377182">doi:10.1109/tcst.2014.2377182</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/sh5zbyqz6vh4vepqi53zc4iqsm">fatcat:sh5zbyqz6vh4vepqi53zc4iqsm</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170706094018/http://spiral.imperial.ac.uk/bitstream/10044/1/19438/2/CecilioEtAl_MultirateDetectionOfTransientDisturbances_IEEETransCST_Accepted.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/5b/bd/5bbde5c3e92c2335c7e8f8fc78c869e7ad3094a3.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/tcst.2014.2377182"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> ieee.com </button> </a>

A TimeImageNet Sequence Learning for Remaining Useful Life Estimation of Turbofan Engine in Aircraft Systems

S. Kalyani, K. Venkata Rao, A. Mary Sowjanya
<span title="">2021</span> <i title="Computers, Materials and Continua (Tech Science Press)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/haa6m6hawnb6vk4tf7nthuw77u" style="color: black;">Structural Durability &amp; Health Monitoring</a> </i> &nbsp;
The time series of each sensor is converted to a 2D image with a specific time window. Converted Images would represent the health of a system in higher-dimensional space.  ...  The current methodology is useful in avoiding the health index generation for predicting the remaining useful life of the industrial components.  ...  Funding Statement: The authors received no specific funding for this study. Conflicts of Interest: The authors declare that they have no conflicts of interest to report regarding the present study.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.32604/sdhm.2021.016975">doi:10.32604/sdhm.2021.016975</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/3apxww3csnbnxpv5x3fh3umfou">fatcat:3apxww3csnbnxpv5x3fh3umfou</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20220227051402/https://www.techscience.com/ueditor/files/sdhm/TSP_SDHM-15-4/TSP_SDHM_16975/TSP_SDHM_16975.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/82/59/8259a621d3f4abb969cc1b57d64f21fa039f3d7b.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.32604/sdhm.2021.016975"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

Anomaly Detection for Industrial Big Data [article]

Neil Caithness, David Wallom
<span title="2018-04-09">2018</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
Industrial Big Data). An obvious use for these data is real-time systems condition monitoring and prognostic time to failure analysis (remaining useful life, RUL). (e.g.  ...  As the Industrial Internet of Things (IIoT) grows, systems are increasingly being monitored by arrays of sensors returning time-series data at ever-increasing 'volume, velocity and variety' (i.e.  ...  ACKNOWLEDGEMENTS Funding in support of this work was given by Innovate UK, Grant Reference Number 102510. Useful comments on the manuscript were provided by Laura Shemilt and Glen Moutrie.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1804.02998v1">arXiv:1804.02998v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/3jz6k3dtdbdepblzmwcadgtfhy">fatcat:3jz6k3dtdbdepblzmwcadgtfhy</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200913111333/https://arxiv.org/pdf/1804.02998v1.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/76/51/7651971b3eee0eb0db22fe183c7c7d254a6ed5ed.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1804.02998v1" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

Statistical Challenges Facing Early Outbreak Detection in Biosurveillance

Galit Shmueli, Howard Burkom
<span title="">2010</span> <i title="Informa UK Limited"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/qrvhqahjjzf4ddjs5l4hjv2b6y" style="color: black;">Technometrics</a> </i> &nbsp;
the time series derived from these data, and the application context all deviate from the industrial setting for which these tools were originally designed.  ...  Our focus is mainly on the monitoring of time series to provide early alerts of anomalies to stimulate investigation of potential outbreaks, with a brief summary of methods to detect significant spatial  ...  Permission to use the data was obtained through data use agreement 189 from TRICARE Management Activity. The work was partially supported by National Institutes of Health Grant RFA-PH-05-126.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1198/tech.2010.06134">doi:10.1198/tech.2010.06134</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/pjouwesiynhhzdb55ihhh7jgia">fatcat:pjouwesiynhhzdb55ihhh7jgia</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170809121759/http://www.galitshmueli.com/system/files/Technometrics+2010+Published.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/c1/0f/c10fbe4f186f995e98d4475055475b5d447501be.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1198/tech.2010.06134"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

Evaluation of Spatial-Temporal Anomalies in the Analysis of Human Movement

Rui Varandas, Duarte Folgado, Hugo Gamboa
<span title="">2019</span> <i title="SCITEPRESS - Science and Technology Publications"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/lxwop3qtazexrkwj5xfe7k3uqm" style="color: black;">Proceedings of the 12th International Joint Conference on Biomedical Engineering Systems and Technologies</a> </i> &nbsp;
It is proposed a framework capable of detecting anomalies in generic repetitive time series, thus being adequate to handle Human motion from industrial scenarios.  ...  I thank especially for all help provided in times of doubt, for guiding my focus in the right direction and for all the suggestions and opinions given throughout this time.  ...  In human motion industrial scenarios, which are dominated by repetitive movements, it was possible to detect anomalies in multivariate time series using accelerometer, gyroscope and magnetometer data.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5220/0007386701630170">doi:10.5220/0007386701630170</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/biostec/VarandasFG19.html">dblp:conf/biostec/VarandasFG19</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/abgbfga4cbgljar2ulrahkkjxi">fatcat:abgbfga4cbgljar2ulrahkkjxi</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20190428161009/https://run.unl.pt/bitstream/10362/58215/1/Varandas_2018.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/b1/52/b152c517af9d9e088761e8d4ff2f6e0e50351b07.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5220/0007386701630170"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

Application of Unsupervised Anomaly Detection Techniques to Moisture Content Data from Wood Constructions

Álvaro García Faura, Dejan Štepec, Matija Cankar, Miha Humar
<span title="2021-02-08">2021</span> <i title="MDPI AG"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/q4qn5347mbernbifov3xbvfjcq" style="color: black;">Forests</a> </i> &nbsp;
In this paper, we explore the application of Unsupervised Anomaly Detection (UAD) techniques to wood Moisture Content (MC) data.  ...  Visual inspection of wood or other approaches for monitoring are time-consuming, and the incipient stages of decay are not always visible.  ...  Sora, trgovina in proizvodnja, d.d., coordinator of the EU Horizon 2020 WINTHERWAX project (Grant Number 666206), for the provision of the data used in this study.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/f12020194">doi:10.3390/f12020194</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/nke6v6mvinfefom4smybzceu2a">fatcat:nke6v6mvinfefom4smybzceu2a</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210218143506/https://res.mdpi.com/d_attachment/forests/forests-12-00194/article_deploy/forests-12-00194-v2.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/ac/a7/aca782e30337a6f93b70c6f25b2988fa2316d38f.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/f12020194"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> mdpi.com </button> </a>

Power Line Communication Based Smart Grid Asset Monitoring Using Time Series Forecasting [article]

Yinjia Huo, Gautham Prasad, Lutz Lampe, Victor C. M. Leung
<span title="2022-01-10">2022</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
To this end, we design a solution that first uses time-series forecasting to predict the PLC channel state information at any given point in time based on its historical data.  ...  In contrast, we develop an asset monitoring technique in this paper that can detect various types of anomalies in the grid without any prior domain knowledge.  ...  Nikolai Hopfer from the University of Wuppertal, Germany, and Power Plus Communications AG (PPC), Germany, for making the experimental data available and assisting with the data analysis.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2110.10219v3">arXiv:2110.10219v3</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/jtd5kx5e3bcfbivzxrijblcdqy">fatcat:jtd5kx5e3bcfbivzxrijblcdqy</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20220112024920/https://arxiv.org/pdf/2110.10219v3.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/aa/1d/aa1dd03831b0a694ccf55b934f192896898661c8.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2110.10219v3" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

Exploiting Correlations to Detect False Data Injections in Low-Density Wireless Sensor Networks

Zhongyuan Hau, Emil C. Lupu
<span title="">2019</span> <i title="ACM Press"> Proceedings of the 5th on Cyber-Physical System Security Workshop - CPSS &#39;19 </i> &nbsp;
When a large number of sensors measuring homogeneous data are deployed, data correlations in space at a fixed snapshot in time could be used as as basis to detect anomalies.  ...  With increasing adoption of sensor deployments in low-density setting, there is a need to develop detection techniques for these applications.  ...  Having a time-series of anomaly scores provides resolution in time on the variation of anomaly score which would be helpful in determining the time of attack (if any). Decision Threshold.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/3327961.3329530">doi:10.1145/3327961.3329530</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/brkqertz7zarhjvblvyeajrohq">fatcat:brkqertz7zarhjvblvyeajrohq</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200306202930/https://spiral.imperial.ac.uk:8443/bitstream/10044/1/72555/6/Exploiting_Correlations_to_Detect_False_Data_Injections_in_Low_Density_Wireless_Sensor_Networks.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/84/c7/84c7d9772586fcd5c799ea85fb28d9d550a0ffcb.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/3327961.3329530"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> acm.org </button> </a>

A heterogeneous benchmark dataset for data analytics: Multiphase flow facility case study

Anna Stief, Ruomu Tan, Yi Cao, James R. Ottewill, Nina F. Thornhill, Jerzy Baranowski
<span title="">2019</span> <i title="Elsevier BV"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/3zt33cshi5bxle5rzyv55b5txa" style="color: black;">Journal of Process Control</a> </i> &nbsp;
Improvements in sensing, connectivity and computing technologies mean that industrial processes now generate data from a variety of disparate sources.  ...  Data may take a number of forms, from time-domain signals, sampled at various rates using a variety of sensors, to alarm and event logs.  ...  of the studies presented in this paper.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.jprocont.2019.04.009">doi:10.1016/j.jprocont.2019.04.009</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/hlbrxjkgpbd5vj7ivqvfzqn6fq">fatcat:hlbrxjkgpbd5vj7ivqvfzqn6fq</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200310034827/https://spiral.imperial.ac.uk:8443/bitstream/10044/1/70318/7/1-s2.0-S0959152418303603-main.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/54/e5/54e5fbd6c7b91fa94da56c11f66aad79c2c21211.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.jprocont.2019.04.009"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> elsevier.com </button> </a>

Computational Surveillance of Microbial Water Quality With Online Flow Cytometry

Marie C. Sadler, Jérémy Senouillet, Simon Kuenzi, Luigino Grasso, Douglas C. Watson
<span title="2020-11-17">2020</span> <i title="Frontiers Media SA"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/hr4aufd67vgi7l3f6s3neobi3m" style="color: black;">Frontiers in Water</a> </i> &nbsp;
presence of microbial anomalies.  ...  Automated flow cytometry (FCM) adapted to real-time quality surveillance provides high-temporal-resolution data about the microbial communities in a water system.  ...  ACKNOWLEDGMENTS We thank Etienne Montandon and Marta Cassaro da Silva Hainard from VITEOS SA for providing the process measurement data from the water treatment plant of Le Locle, CH.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3389/frwa.2020.586969">doi:10.3389/frwa.2020.586969</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/s7ptudmtizfnhmljs7mfdw2cwm">fatcat:s7ptudmtizfnhmljs7mfdw2cwm</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20201118060218/https://fjfsdata01prod.blob.core.windows.net/articles/files/586969/pubmed-zip/.versions/1/.package-entries/frwa-02-586969/frwa-02-586969.pdf?sv=2018-03-28&amp;sr=b&amp;sig=tUVLMqYK0HASi8pSvMPSM3E0nHMFrt9rHuAlXWOBR9U%3D&amp;se=2020-11-18T06%3A02%3A47Z&amp;sp=r&amp;rscd=attachment%3B%20filename%2A%3DUTF-8%27%27frwa-02-586969.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/b9/f4/b9f4579226f44e015b398883587968d16903f77a.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3389/frwa.2020.586969"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> frontiersin.org </button> </a>

A Survey on Proactive Customer Care: Enabling Science and Steps to Realize it [article]

Viswanath Ganapathy, Sauptik Dhar, Olimpiya Saha, Pelin Kurt Garberson, Javad Heydari, Mohak Shah
<span title="2021-10-11">2021</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
In recent times, advances in artificial intelligence (AI) and IoT have enabled seamless and viable maintenance of appliances in home and building environments.  ...  Finally, we touch upon existing public data sources and provide a step-wise breakdown of an AI-driven proactive customer care (PCC) use-case, starting from generic anomaly detection to fault prediction  ...  Acknowledgement We would like to thank our colleague at LG Electronics Advanced AI team, Samarth Tripathy, for assistance with web deployment of the live demo for the Microsoft Azure dataset.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2110.05015v1">arXiv:2110.05015v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/wjlrvk4hhbhkzlnkokz4pvwzn4">fatcat:wjlrvk4hhbhkzlnkokz4pvwzn4</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20211015035409/https://arxiv.org/pdf/2110.05015v1.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/da/fa/dafa2b531554077f8050a799cb6b742614778df3.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2110.05015v1" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>
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