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Three-layer Approach to Detect Anomalies in Industrial Environments based on Machine Learning [article]

Daniel Gutierrez-Rojas, Mehar Ullah, Ioannis T. Christou, Gustavo Almeida, Pedro H. J. Nardelli, Dick Carrillo, Jean M. Sant'Ana, Hirley Alves, Merim Dzaferagic, Alessandro Chiumento, Charalampos Kalalas
<span title="2020-04-20">2020</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
(iii) quantitative association rule mining method for data analytics is effective for the rare event detection, identification and diagnosis.  ...  This general framework is then applied in a well-known benchmark scenario, namely Tennessee Eastman Process.  ...  Fig. 4 : 4 Signal from variable 1 at data fusion point (after transmission) for fault number 2 of Tennessee Eastman dataset.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2004.09097v1">arXiv:2004.09097v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/rh674w2zojesbl5mqt6mcbrt4u">fatcat:rh674w2zojesbl5mqt6mcbrt4u</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200502150033/https://arxiv.org/pdf/2004.09097v1.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/d8/5e/d85e57acc90281105c602d6d151d78a46094f45f.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2004.09097v1" 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>

Three-layer Approach to Detect Anomalies in Industrial Environments based on Machine Learning

Daniel Gutiérrez-Rojas, Mehar Ullah, Ioannis T. Christou, Gustavo Almeida, Pedro Nardelli, Nick Carrillo, Jean M. Sant'Ana, Hirley Alves, Merim Dzaferagic, Alessandro Chiumento, Charalampos Kalalas
<span title="2020-06-12">2020</span> <i title="Zenodo"> Zenodo </i> &nbsp;
(iii) quantitative association rule mining method for data analytics is effective for the rare event detection, identification and diagnosis.  ...  This general framework is then applied in a well-known benchmark scenario, namely Tennessee Eastman Process.  ...  Fig. 4 : 4 Signal from variable 1 at data fusion point (after transmission) for fault number 2 of Tennessee Eastman dataset.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5281/zenodo.4118186">doi:10.5281/zenodo.4118186</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/a3q7lp4rdzg2th67rhovxmgnze">fatcat:a3q7lp4rdzg2th67rhovxmgnze</a> </span>
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Monitoring of Complex Processes with Bayesian Networks [chapter]

Sylvain Verron, Teodor Tiplica, Abdessamad Kobi
<span title="2010-08-18">2010</span> <i title="Sciyo"> Bayesian Network </i> &nbsp;
The section 5 presents an evaluation of the proposed method for detection and diagnosis of faults on the benchmark Tennessee Eastman Problem.  ...  The performances of the proposed approach are evaluated on the benchmark problem of the Tennessee Eastman www.intechopen.com Process, demonstrating that fault detection and fault diagnosis can be made  ...  They provide a language that supports efficient algorithms for the automatic construction of expert systems in several different contexts.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5772/10068">doi:10.5772/10068</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/t3ofjadxmrdbpbgq3gbn6zgasy">fatcat:t3ofjadxmrdbpbgq3gbn6zgasy</a> </span>
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FAULT DIAGNOSIS BASED ON MULTI-SCALE CLASSIFICATION USING KERNEL FISHER DISCRIMINANT ANALYSIS AND GAUSSIAN MIXTURE MODEL AND K-NEAREST NEIGHBOR METHOD

Norazwan Md Nor, Mohd Azlan Hussain, Che Rosmani Che Hassan
<span title="2017-07-19">2017</span> <i title="Penerbit UTM Press"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/xgym76lve5dw7bbeqkndyfil2u" style="color: black;">Jurnal Teknologi</a> </i> &nbsp;
in fault detection and classification.  ...  These two classifiers are evaluated and compared based on their performance on the Tennessee Eastman process database.  ...  Acknowledgement The authors are thankful to Ministry of Higher Education Malaysia for their ASTS (SLAB) scholarship and financial support toward the project.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.11113/jt.v79.11332">doi:10.11113/jt.v79.11332</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/o5oltln37fa6rnq2jxj77cfjea">fatcat:o5oltln37fa6rnq2jxj77cfjea</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20190428121321/https://jurnalteknologi.utm.my/index.php/jurnalteknologi/article/download/11332/6198" 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/98/64/986435ae97fab4987c5cede04813af8224418d9a.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.11113/jt.v79.11332"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> Publisher / doi.org </button> </a>

Spectral Graph Analysis for Process Monitoring

Estanislao Musulin
<span title="2014-06-10">2014</span> <i title="American Chemical Society (ACS)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/nzlai5ynpvgahnyzfost6xty5q" style="color: black;">Industrial &amp; Engineering Chemistry Research</a> </i> &nbsp;
Process monitoring is a fundamental task to support operator decisions under abnormal situations.  ...  The developed methodology has been illustrated in autocorrelated and non-linear synthetic cases, and applied to the well known Tennessee Eastman process benchmark with promising results.  ...  Acknowledgement Financial support from CONICET, ANPCyT and FCEIA-UNR is fully acknowledged. I would also like to thank Dr.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1021/ie403966v">doi:10.1021/ie403966v</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/4ex7upcu2zfkdl4nfraqljtlpy">fatcat:4ex7upcu2zfkdl4nfraqljtlpy</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20180720074105/http://ri.conicet.gov.ar/bitstream/handle/11336/4808/Manuscript%20ie-2013-03966v_rev1.pdf;jsessionid=D4B3F60CE5F7CB09F35095669DA836D7?sequence=5" 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/49/65/4965ce08386780609a90163dacb57e4ee8c44c25.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1021/ie403966v"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> acs.org </button> </a>

An improved approach for fault detection by simultaneous overcoming of high-dimensionality, autocorrelation, and time-variability

Nastaran Hajarian, Farzad Movahedi Sobhani, Seyed Jafar Sadjadi, Hongbing Ding
<span title="2020-12-17">2020</span> <i title="Public Library of Science (PLoS)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/s3gm7274mfe6fcs7e3jterqlri" style="color: black;">PLoS ONE</a> </i> &nbsp;
An efficient fault detection technique is an approach that is robust against data training, sensitive to all the feasible faults of the process, and agile to the detection of the faults.  ...  The proposed approach has been tested on the Tennessee Eastman Process (TEP).  ...  Applied MWDPCA method on case study Eastman Tennessee Process The Eastman Tennessee Process (TEP) was developed by Eastman Company, which has created a real industrial process to evaluate the methods  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1371/journal.pone.0243146">doi:10.1371/journal.pone.0243146</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/33332390">pmid:33332390</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/ie5hw5t2ffahfoxvtlnc65baza">fatcat:ie5hw5t2ffahfoxvtlnc65baza</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20201220095240/https://storage.googleapis.com/plos-corpus-prod/10.1371/journal.pone.0243146/1/pone.0243146.pdf?X-Goog-Algorithm=GOOG4-RSA-SHA256&amp;X-Goog-Credential=wombat-sa%40plos-prod.iam.gserviceaccount.com%2F20201220%2Fauto%2Fstorage%2Fgoog4_request&amp;X-Goog-Date=20201220T095240Z&amp;X-Goog-Expires=3600&amp;X-Goog-SignedHeaders=host&amp;X-Goog-Signature=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" 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/3c/a7/3ca7c6fb3586af9bd46c2e3dc07cfb38d8f9ebaf.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1371/journal.pone.0243146"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> plos.org </button> </a>

Process Monitoring Using Kernel PCA and Kernel Density Estimation-Based SSGLR Method for Nonlinear Fault Detection

Faisal Shahzad, Zhensheng Huang, Waqar Hussain Memon
<span title="2022-03-15">2022</span> <i title="MDPI AG"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/smrngspzhzce7dy6ofycrfxbim" style="color: black;">Applied Sciences</a> </i> &nbsp;
The fault monitoring efficiency is demonstrated through different simulation scenarios, one utilizing synthetic data, the other from the Tennessee Eastman technique, and lastly through a hot strip mill  ...  nonlinear fault detection.  ...  the Tennessee Eastman method.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/app12062981">doi:10.3390/app12062981</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/eowuv7n37jdudovt3ezw76pstm">fatcat:eowuv7n37jdudovt3ezw76pstm</a> </span>
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Root cause analysis in multivariate statistical process monitoring: Integrating reconstruction-based multivariate contribution analysis with fuzzy-signed directed graphs

Bo He, Tao Chen, Xianhui Yang
<span title="">2014</span> <i title="Elsevier BV"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/u3s73v5btvfqjfntuhxfqyeema" style="color: black;">Computers and Chemical Engineering</a> </i> &nbsp;
the detected fault.  ...  An efficient branch and bound algorithm was developed to search for the maximal DoT that explains the effect, and the corresponding causes can be identified.  ...  Acknowledgement This work was carried out during Bo He"s visit to the University of Surrey, supported by the Santander Universities through a Santander Postgraduate Research Award.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.compchemeng.2014.02.014">doi:10.1016/j.compchemeng.2014.02.014</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/cyqz4ndi6bc5fdnxqv4vzld5ta">fatcat:cyqz4ndi6bc5fdnxqv4vzld5ta</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170810103232/http://epubs.surrey.ac.uk/805567/1/bhe2014_mspc_sdg_web.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/59/61/5961943ea043c46aa78925616fd0c43778697b87.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.compchemeng.2014.02.014"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> elsevier.com </button> </a>

A Review on Fault Detection and Process Diagnostics in Industrial Processes

You-Jin Park, Shu-Kai S. Fan, Chia-Yu Hsu
<span title="2020-09-09">2020</span> <i title="MDPI AG"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/vt2hc3xcijfofb7cwnxv4hhszi" style="color: black;">Processes</a> </i> &nbsp;
The main roles of fault detection and diagnosis (FDD) for industrial processes are to make an effective indicator which can identify faulty status of a process and then to take a proper action against  ...  In this paper, we present current research and developments of FDD approaches for process monitoring as well as a broad literature review of many useful FDD approaches.  ...  They showed that, for diagnosing faults, FDA and DPLS are better dimension reduction tools than PCA by applying those to a simulated Tennessee Eastman example. Zhou et al.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/pr8091123">doi:10.3390/pr8091123</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/hpcof76vijg7rjgwwbhdwexeg4">fatcat:hpcof76vijg7rjgwwbhdwexeg4</a> </span>
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Fault diagnosis of Tennessee Eastman process using signal geometry matching technique

Han Li, De-yun Xiao
<span title="2011-10-10">2011</span> <i title="Springer Nature"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/hqblpsydr5emviirtqkkmctpha" style="color: black;">EURASIP Journal on Advances in Signal Processing</a> </i> &nbsp;
This article employs adaptive rank-order morphological filter to develop a pattern classification algorithm for fault diagnosis in benchmark chemical process: Tennessee Eastman process.  ...  Different fault types in Tennessee Eastman process are studied to manifest the effectiveness and advantages of the proposed method.  ...  Acknowledgements This work was supported by National Natural Science Foundation of China No. 60736026 and No. 60904044 grants and the authors would like to thank the control scheme code for TEP fault diagnosis  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1186/1687-6180-2011-83">doi:10.1186/1687-6180-2011-83</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/4fxaqpscyjakbbfmfobmnexmdm">fatcat:4fxaqpscyjakbbfmfobmnexmdm</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170825042203/https://link.springer.com/content/pdf/10.1186%2F1687-6180-2011-83.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/84/aa84d851b2602d7ef01a72d2bdcefdb18d760b90.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1186/1687-6180-2011-83"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> springer.com </button> </a>

Fault Detection and Identification using Bayesian Recurrent Neural Networks [article]

Weike Sun, Antonio R. C. Paiva, Peng Xu, Anantha Sundaram, Richard D. Braatz
<span title="2020-06-26">2020</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
It is therefore important to further develop monitoring systems to effectively detect and identify those faults such that they can be quickly resolved by operators.  ...  ~(TEP) and a real chemical manufacturing dataset.  ...  Tennessee Eastman Process The Tennessee Eastman process (TEP) is a well-known benchmark by the Eastman Chemical Company for process monitoring and control studies.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1911.04386v2">arXiv:1911.04386v2</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/npkgp4srgbg5xg3l3efshczdxa">fatcat:npkgp4srgbg5xg3l3efshczdxa</a> </span>
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A Novel Mutual Information and Partial Least Squares Approach for Quality-Related and Quality-Unrelated Fault Detection

Majed Aljunaid, Yang Tao, Hongbo Shi
<span title="2021-01-18">2021</span> <i title="MDPI AG"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/vt2hc3xcijfofb7cwnxv4hhszi" style="color: black;">Processes</a> </i> &nbsp;
Partial least squares (PLS) and linear regression methods are widely utilized for quality-related fault detection in industrial processes.  ...  Finally, the proposed method is applied on a numerical example and Tennessee Eastman process.  ...  The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript; or in the decision to publish the results.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/pr9010166">doi:10.3390/pr9010166</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/ndf6t4h6vfbh7bmwhfinw7gjhm">fatcat:ndf6t4h6vfbh7bmwhfinw7gjhm</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210122100202/https://res.mdpi.com/d_attachment/processes/processes-09-00166/article_deploy/processes-09-00166.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/77/1b/771be00753bad6c0707e4864d34ae4f337f90bf7.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/pr9010166"> <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>

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;
The presented dataset is suitable for developing and validating algorithms for fault detection and diagnosis and data fusion concepts.  ...  Experiments were conducted on a multiphase flow facility under various operational conditions with and without induced faults.  ...  The authors are thankful to Liyun Lao, Stan Collins, Henry Tandoh, Prafull Sharma, Godfrey Nnabuife and Joseph Inok of Cranfield University for providing helpful insight into the design and the implementation  ... 
<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>
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Review of multiscale methods for process monitoring, with an emphasis on applications in chemical process systems

Muhammad Nawaz, Abdulhalim Shah Maulud, Haslinda Zabiri, Humbul Suleman
<span title="">2022</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;
The reported literature focused mainly on fault detection and did not investigate the root-cause diagnosis of the detected faults.  ...  Process monitoring has played an increasingly significant role in ensuring safe and efficient manufacturing operations in process industries over the past several years.  ...  [75] , where efficiency and robustness are demonstrated through simulated continuous stirred tank reactor (CSTR) and Tennessee Eastman process (TEP) data.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/access.2022.3171907">doi:10.1109/access.2022.3171907</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/tilyltbqwrg6dc7bly724me4ai">fatcat:tilyltbqwrg6dc7bly724me4ai</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20220505231624/https://ieeexplore.ieee.org/ielx7/6287639/6514899/09766148.pdf?tp=&amp;arnumber=9766148&amp;isnumber=6514899&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/44/f6/44f695a5a0a638c4376738ba3ddb0de0cc3bb6c8.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/access.2022.3171907"> <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>

Unsupervised Offline Changepoint Detection Ensembles

Iurii Katser, Viacheslav Kozitsin, Victor Lobachev, Ivan Maksimov
<span title="2021-05-09">2021</span> <i title="MDPI AG"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/smrngspzhzce7dy6ofycrfxbim" style="color: black;">Applied Sciences</a> </i> &nbsp;
The results were obtained on the two anomaly benchmarks that contain industrial faults and failures—Tennessee Eastman Process (TEP) and Skoltech Anomaly Benchmark (SKAB).  ...  Offline changepoint detection (CPD) algorithms are used for signal segmentation in an optimal way.  ...  Acknowledgments: The authors would like to thank Dmitry Lakontsev from Skolkovo Institute of Science and Technology for the support and critical reading of the manuscript.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/app11094280">doi:10.3390/app11094280</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/42s2x7tbsba5ritxmfkhemvvjy">fatcat:42s2x7tbsba5ritxmfkhemvvjy</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210511012554/https://res.mdpi.com/d_attachment/applsci/applsci-11-04280/article_deploy/applsci-11-04280-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/d5/02/d502ecd92ee05c68a177cd4207075b1907c144e3.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/app11094280"> <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>
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