Filters








26 Hits in 8.3 sec

Gearbox Incipient Fault Detection Based on Deep Recursive Dynamic Principal Component Analysis

Huaitao Shi, Jin Guo, Xiaotian Bai, Lei Guo, Zhenpeng Liu, Jie Sun
<span title="">2020</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 PCA method is not effective in detecting weak fault features in time-varying signals, so this paper proposes a method based on Deep Recursive Dynamic Principal Component Analysis (Deep RDPCA) to detect  ...  The proposed approach is modeled via both the deep decomposed theorems and time-varying dynamic model based on traditional PCA to extract characteristic of time-varying and weak fault information under  ...  This paper proposes a dynamic incipient fault detection method based on Deep Recursive Dynamic Principal Component Analysis (Deep RDPCA) combined with the Moving Window algorithm.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/access.2020.2982213">doi:10.1109/access.2020.2982213</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/combmdjifreopkjt32h6zzqrk4">fatcat:combmdjifreopkjt32h6zzqrk4</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20201107050853/https://ieeexplore.ieee.org/ielx7/6287639/8948470/09043520.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/71/d3/71d37fd82bc56f8abde7c9e0bf16056233d48a15.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/access.2020.2982213"> <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>

Basic research on machinery fault diagnostics: Past, present, and future trends

Xuefeng Chen, Shibin Wang, Baijie Qiao, Qiang Chen
<span title="2017-11-06">2017</span> <i title="Springer Nature"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/wnu5phkq4ja7nbdkqkapmcromm" style="color: black;">Frontiers of Mechanical Engineering</a> </i> &nbsp;
Research on machinery Fault diagnostics has grown rapidly in recent years.  ...  On the basis of the review of basic theory of machinery fault diagnosis and its practical applications in engineering, the paper concludes with a brief discussion on the future trends and challenges in  ...  [117] presented a fault feature index using principal component analysis and a semi-supervised k-nearest neighbor distance measure for bearing fault detection and monitoring in electric motors.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/s11465-018-0472-3">doi:10.1007/s11465-018-0472-3</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/xngm4jcct5berhuf33rqoxfc6i">fatcat:xngm4jcct5berhuf33rqoxfc6i</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20180726103358/https://link.springer.com/content/pdf/10.1007%2Fs11465-018-0472-3.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/71/f4/71f4aebab7159a00ec58253f35de11609f227475.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/s11465-018-0472-3"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> springer.com </button> </a>

Linear discriminant analysis for the discrimination of faults in bearing balls by using spectral features

Jinane Harmouche, Claude Delpha, Demba Diallo
<span title="">2014</span> <i title="IEEE"> 2014 First International Conference on Green Energy ICGE 2014 </i> &nbsp;
The fault detection performances (false alarm and missed detection probabilities) of the divergence and the fault estimation accuracy are evaluated on numerical models through intensive simulations. iii  ...  A 'global' spectral analysis approach is also proposed for the diagnosis of faults with a frequency signature. The 'global' statistical approach is proved on two application studies.  ...  The principal components in such case may be updated recursively [53, 54] for example.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/icge.2014.6835419">doi:10.1109/icge.2014.6835419</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/rbkk7v5d6bdczdqor53z2do5je">fatcat:rbkk7v5d6bdczdqor53z2do5je</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20181103115719/https://tel.archives-ouvertes.fr/tel-01142209/document" 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/ab/33/ab33eb9acca8ecb6d304f5445ec579f4c0be3f09.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/icge.2014.6835419"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> ieee.com </button> </a>

Fault diagnosis and health management of bearings in rotating equipment based on vibration analysis – a review

Adnan Althubaiti, Faris Elasha, Joao Amaral Teixeira
<span title="2021-11-26">2021</span> <i title="JVE International Ltd."> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/q7phojylwrf2fnbft5ycu3sa5e" style="color: black;">Journal of Vibroengineering</a> </i> &nbsp;
There is an ever-increasing need to optimise bearing lifetime and maintenance cost through detecting faults at earlier stages.  ...  Towards the development of improved approaches to prognosis of bearing faults a review of fault diagnosis and health management systems research is presented.  ...  component analysis (PCA) and 𝑘 -nearest neighbour (KNN), their method successfully detected incipient faults and identified the location, importantly, it was able to provide a health index to track the  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.21595/jve.2021.22100">doi:10.21595/jve.2021.22100</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/erdumydfzvg7bagqjfggy256my">fatcat:erdumydfzvg7bagqjfggy256my</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20220116165407/https://www.jvejournals.com/article/22100/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/9b/c3/9bc390040202513becbbd07bd6d0067457e0099c.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.21595/jve.2021.22100"> <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>

AutoML for Feature Selection and Model Tuning Applied to Fault Severity Diagnosis in Spur Gearboxes

Mariela Cerrada, Leonardo Trujillo, Daniel E. Hernández, Horacio A. Correa Zevallos, Jean Carlo Macancela, Diego Cabrera, René Vinicio Sánchez
<span title="2022-01-13">2022</span> <i title="MDPI AG"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/y2lwqwd3kfeihhzz5qdvdjhaqq" style="color: black;">Mathematical and Computational Applications</a> </i> &nbsp;
This latter result is important in the research of useful feature selection for gearbox fault diagnosis.  ...  The early detection of the possible failure modes and their severity assessment in such devices is an important field of research.  ...  In particular, when a fault is starting, the first stages of the failure mode are not easy to detect, in most cases, and the incipient fault is not advised until reaching severe stages that can cause damages  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/mca27010006">doi:10.3390/mca27010006</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/eibjvuoki5hkfmgxszbmg2rlru">fatcat:eibjvuoki5hkfmgxszbmg2rlru</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20220504025003/https://mdpi-res.com/d_attachment/mca/mca-27-00006/article_deploy/mca-27-00006-v3.pdf?version=1642594880" 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] </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/mca27010006"> <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>

2019 Index IEEE Transactions on Industrial Informatics Vol. 15

<span title="">2019</span> <i title="Institute of Electrical and Electronics Engineers (IEEE)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/lxfdtuyn4nhhtevm3datmysrpa" style="color: black;">IEEE Transactions on Industrial Informatics</a> </i> &nbsp;
., +, TII Dec. 2019 6210-6219 Structured Joint Sparse Principal Component Analysis for Fault Detection and Isolation.  ...  Rabcan, J., +, TII Oct. 2019 5425-5434 Blast furnaces Structured Joint Sparse Principal Component Analysis for Fault Detection and Isolation.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/tii.2020.2968165">doi:10.1109/tii.2020.2968165</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/utk3ywxc6zgbdbfsys5f4otv7u">fatcat:utk3ywxc6zgbdbfsys5f4otv7u</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20201107081018/https://ieeexplore.ieee.org/ielx7/9424/8924788/09031596.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] </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/tii.2020.2968165"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> ieee.com </button> </a>

Deep-Learning-Based Methodology for Fault Diagnosis in Electromechanical Systems

Francisco Arellano-Espitia, Miguel Delgado-Prieto, Victor Martinez-Viol, Juan Jose Saucedo-Dorantes, Roque Alfredo Osornio-Rios
<span title="2020-07-16">2020</span> <i title="MDPI AG"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/taedaf6aozg7vitz5dpgkojane" style="color: black;">Sensors</a> </i> &nbsp;
Thus, in this paper, a novel deep-learning-based methodology for fault diagnosis in electromechanical systems is presented.  ...  Fault diagnosis in manufacturing systems represents one of the most critical challenges dealing with condition-based monitoring in the recent era of smart manufacturing.  ...  [19] proposed a technique for the diagnosis of bearing faults under variable speed and constant load conditions used the absolute value-based principal component analysis (PCA).  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/s20143949">doi:10.3390/s20143949</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/32708574">pmid:32708574</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC7412339/">pmcid:PMC7412339</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/pqm4hglgwzff3jrlztllsry4fa">fatcat:pqm4hglgwzff3jrlztllsry4fa</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200728195205/https://res.mdpi.com/d_attachment/sensors/sensors-20-03949/article_deploy/sensors-20-03949.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/e2/20/e220c1ecd1249251f8652db8576ece2e921b5212.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/s20143949"> <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 target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7412339" title="pubmed link"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> pubmed.gov </button> </a>

A Survey of Predictive Maintenance: Systems, Purposes and Approaches [article]

Yongyi Ran, Xin Zhou, Pengfeng Lin, Yonggang Wen, Ruilong Deng
<span title="2019-12-12">2019</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
We make a brief review on the knowledge based and traditional ML based approaches applied in diverse industrial systems or components with a complete list of references, while providing a comprehensive  ...  Furthermore, we provide a review of the existing approaches for fault diagnosis and prognosis in PdM systems that include three major subcategories: knowledge based, traditional Machine Learning (ML) based  ...  A SVM based incipient fault diagnosis model is set up to classify different incipient fault classes. Shen et al.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1912.07383v1">arXiv:1912.07383v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/vjunlhidqra7baucyl42ss45iy">fatcat:vjunlhidqra7baucyl42ss45iy</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200831022545/https://arxiv.org/pdf/1912.07383v1.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/65/1a/651a2237a8b7daf2c05161d941997430191b4749.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1912.07383v1" 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>

2021 Index IEEE Transactions on Instrumentation and Measurement Vol. 70

<span title="">2021</span> <i title="Institute of Electrical and Electronics Engineers (IEEE)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/ezthgawmfbeczntonmx4gfjvtm" style="color: black;">IEEE Transactions on Instrumentation and Measurement</a> </i> &nbsp;
Article numbers are based on specified topic areas and corresponding codes associated with the publication.  ...  ., +, TIM 2021 8504510 Self-Detecting the Measurement Error of Electronic Voltage Transformer Based on Principal Component Analysis-Wavelet Packet Decomposition.  ...  Fekih, M.A., +, TIM 2021 9503914 Self-Detecting the Measurement Error of Electronic Voltage Transformer Based on Principal Component Analysis-Wavelet Packet Decomposition.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/tim.2022.3156705">doi:10.1109/tim.2022.3156705</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/dmqderzenrcopoyipv3v4vh4ry">fatcat:dmqderzenrcopoyipv3v4vh4ry</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20220308091328/https://ieeexplore.ieee.org/ielx7/19/9259274/09729097.pdf?tp=&amp;arnumber=9729097&amp;isnumber=9259274&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] </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/tim.2022.3156705"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> ieee.com </button> </a>

A multi-step anomaly detection strategy based on robust distances for the steel industry

Kisan Sarda, Antonio Acernese, Vittorio Nole, Leonardo Manfredi, Luca Greco, Luigi Glielmo, Carmen Del Vecchio
<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;
Various methods for detecting multivariate outliers have been proposed in the literature (see [7] , [8] for an overview); out of these, Principal Component Analysis (PCA) and Independent Component Analysis  ...  A preliminary fault detection phase has been carried out based on robust MDs and on the RMCD.  ...  We notice that the fifth cluster includes the most incipient fault samples: 34 over 36 anomalies concern I8 profile.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/access.2021.3070659">doi:10.1109/access.2021.3070659</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/isria6u36nhpdhjkzguvjaqwnm">fatcat:isria6u36nhpdhjkzguvjaqwnm</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210715020424/https://ieeexplore.ieee.org/ielx7/6287639/6514899/09393875.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/fb/19/fb19d26700a73b22a56b924f404f28de5e283ffb.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/access.2021.3070659"> <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>

2020 Index IEEE Transactions on Instrumentation and Measurement Vol. 69

<span title="">2020</span> <i title="Institute of Electrical and Electronics Engineers (IEEE)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/ezthgawmfbeczntonmx4gfjvtm" style="color: black;">IEEE Transactions on Instrumentation and Measurement</a> </i> &nbsp;
., Influence of Received Signal Strength on Prediction of Cluster Head and Number of Rounds; TIM June 2020 3739-3749 Hendeby, G., see Kasebzadeh, P., TIM Aug. 2020 5862-5874 Heng, Y., see Xue, M.,  ...  TIM June 2020 3812-3817 Henry, M.P., The Prism: Recursive FIR Signal Processing for Instrumentation Applications; TIM April 2020 1519-1529 Heo, S., see Jung, J.H., TIM Oct. 2020 7530-7541 Hernandez  ...  ., +, TIM March 2020 751-759 Generative Principal Component Thermography for Enhanced Defect Detection and Analysis.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/tim.2020.3042348">doi:10.1109/tim.2020.3042348</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/a5f4fsqs45fbbetre6zwsg3dly">fatcat:a5f4fsqs45fbbetre6zwsg3dly</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210428220853/https://ieeexplore.ieee.org/ielx7/19/9253032/09277948.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] </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/tim.2020.3042348"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> ieee.com </button> </a>

A comprehensive review of artificial intelligence-based approaches for rolling element bearing PHM: shallow and deep learning

Moussa Hamadache, Joon Ha Jung, Jungho Park, Byeng D. Youn
<span title="2019-05-16">2019</span> <i title="Springer Science and Business Media LLC"> JMST Advances </i> &nbsp;
Finally, deep-learning approaches for fault detection, diagnosis, and prognosis for REB are comprehensively reviewed.  ...  The objective of this paper is to present a comprehensive review of the contemporary techniques for fault detection, diagnosis, and prognosis of rolling element bearings (REBs).  ...  ., using principal component analysis (PCA), linear discriminant analysis (LDA), independent component analysis (ICA), etc.), and model training.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/s42791-019-0016-y">doi:10.1007/s42791-019-0016-y</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/sb3armogsvdebmwxjgpzfxwgju">fatcat:sb3armogsvdebmwxjgpzfxwgju</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200310103508/https://link.springer.com/content/pdf/10.1007%2Fs42791-019-0016-y.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/3c/4c/3c4c840b354b03f246eace9eceaed965486192b9.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/s42791-019-0016-y"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> springer.com </button> </a>

A Review: Prognostics and Health Management in Automotive and Aerospace

Van Duc Nguyen, Marios Kefalas, Kaifeng Yang, Asteris Apostolidis, Markus Olhofer, Steffen Limmer, Thomas B¨ack
<span title="2019-06-01">2019</span> <i title="PHM Society"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/oytnbltmrzennm56etm4ci3kba" style="color: black;">International Journal of Prognostics and Health Management</a> </i> &nbsp;
In general, PHM systems use real-time and historical state information of subsystems and components of the operating systems to provide actionable information, enabling intelligent decision-making for  ...  model (HMM), and principal component analysis (PCA).  ...  A robust PHM system should be able to detect incipient component or system fault, perform failure diagnostics, failure prognostics, and health management. Failure prognostics is the heart of PHM.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.36001/ijphm.2019.v10i2.2730">doi:10.36001/ijphm.2019.v10i2.2730</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/4xe5ylcxy5boxchrna2bggckba">fatcat:4xe5ylcxy5boxchrna2bggckba</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20220131160845/https://papers.phmsociety.org/index.php/ijphm/article/download/2730/1676" 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/23/aa/23aa76346abd472b64fd0d4407c2e375dca095cf.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.36001/ijphm.2019.v10i2.2730"> <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>

Prognostics and Health Management in Nuclear Power Plants: An Updated Method-Centric Review With Special Focus on Data-Driven Methods

Xingang Zhao, Junyung Kim, Kyle Warns, Xinyan Wang, Pradeep Ramuhalli, Sacit Cetiner, Hyun Gook Kang, Michael Golay
<span title="2021-06-15">2021</span> <i title="Frontiers Media SA"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/kr4gvkhrzfe5he2vhzlh4x753e" style="color: black;">Frontiers in Energy Research</a> </i> &nbsp;
Recent advances in data-driven analysis methods—largely represented by those in artificial intelligence and machine learning—have enhanced applications ranging from robust anomaly detection to automated  ...  The NPP equipment PHM is one area where the application of these algorithmic advances can significantly improve the ability to perform asset management.  ...  Principal component analysis (PCA) and partial least squares (PLS) are two basic multivariate statistical techniques (Severson et al., 2016) , and many applications based on those techniques have been  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3389/fenrg.2021.696785">doi:10.3389/fenrg.2021.696785</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/4x4pgevfsrbhrihmdsrdegyptu">fatcat:4x4pgevfsrbhrihmdsrdegyptu</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210618104904/https://fjfsdata01prod.blob.core.windows.net/articles/files/696785/pubmed-zip/.versions/1/.package-entries/fenrg-09-696785.pdf?sv=2018-03-28&amp;sr=b&amp;sig=YNblK%2BCaRBYPhimhPkXHr8PfpTXrgdtIZwGmGwORUeE%3D&amp;se=2021-06-18T10%3A49%3A32Z&amp;sp=r&amp;rscd=attachment%3B%20filename%2A%3DUTF-8%27%27fenrg-09-696785.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/9a/2e/9a2e2f2dacf431a2c5772ce3289e9a3d616a3252.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3389/fenrg.2021.696785"> <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 Review of Machine Learning Methods Applied to Structural Dynamics and Vibroacoustic [article]

Barbara Cunha
<span title="2022-04-13">2022</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
The main methodologies, advantages, limitations, and recommendations based on scientific knowledge were identified for each of the three applications.  ...  In Structural Health Monitoring, ML detection and prognosis lead to safe operation and optimized maintenance schedules.  ...  Several unsupervised ML methods perform dimensionality reduction [220] , the principal ones being Autoencoders, Boltzmann Machines and Principal component analysis.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2204.06362v1">arXiv:2204.06362v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/ayn6cpcn7nd65hum3z4fspxwrm">fatcat:ayn6cpcn7nd65hum3z4fspxwrm</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20220426041451/https://arxiv.org/pdf/2204.06362v1.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/1f/73/1f7332a02baa06a1c60f9262192da684a013c091.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2204.06362v1" 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>
&laquo; Previous Showing results 1 &mdash; 15 out of 26 results