Prognostics With Variational Autoencoder by Generative Adversarial Learning

Huang, Yu; Tang, Yufei; VanZwieten, James

doi:10.1109/tie.2021.3053882

Prognostics With Variational Autoencoder by Generative Adversarial Learning

Journal Article · 01 January 2022 · IEEE Translations on Industrial Electronics

DOI:https://doi.org/10.1109/tie.2021.3053882· OSTI ID:1980505

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Not provided.

Research Organization:: Univ. of Washington, Seattle, WA (United States)

Sponsoring Organization:: USDOE Office of Energy Efficiency and Renewable Energy (EERE)

DOE Contract Number:: EE0008955

OSTI ID:: 1980505

Journal Information:: IEEE Translations on Industrial Electronics, Vol. 69, Issue 1; ISSN 0278-0046

Publisher:: IEEE

Country of Publication:: United States

Language:: English

References (25)

Data-driven prediction of battery cycle life before capacity degradation Severson, Kristen A.; Attia, Peter M.; Jin, Norman Nature Energy, Vol. 4, Issue 5 https://doi.org/10.1038/s41560-019-0356-8	journal	March 2019
Damage propagation modeling for aircraft engine run-to-failure simulation Saxena, Abhinav; Goebel, Kai; Simon, Don 2008 International Conference on Prognostics and Health Management https://doi.org/10.1109/PHM.2008.4711414	conference	October 2008
Deep Learning-Based Machinery Fault Diagnostics With Domain Adaptation Across Sensors at Different Places Li, Xiang; Zhang, Wei; Xu, Nan-Xi IEEE Transactions on Industrial Electronics, Vol. 67, Issue 8 https://doi.org/10.1109/TIE.2019.2935987	journal	August 2020
Remaining useful life estimation of engineered systems using vanilla LSTM neural networks Wu, Yuting; Yuan, Mei; Dong, Shaopeng Neurocomputing, Vol. 275 https://doi.org/10.1016/j.neucom.2017.05.063	journal	January 2018
Recurrent neural networks for remaining useful life estimation Heimes, Felix O. 2008 International Conference on Prognostics and Health Management https://doi.org/10.1109/PHM.2008.4711422	conference	October 2008
Remaining useful life prediction of rolling element bearings using degradation feature based on amplitude decrease at specific frequencies An, Dawn; Choi, Joo-Ho; Kim, Nam H. Structural Health Monitoring, Vol. 17, Issue 5 https://doi.org/10.1177/1475921717736226	journal	November 2017
Diagnostics and Prognostics Method for Analog Electronic Circuits Sai Sarathi Vasan, Arvind; Long, Bing; Pecht, Michael IEEE Transactions on Industrial Electronics, Vol. 60, Issue 11 https://doi.org/10.1109/TIE.2012.2224074	journal	November 2013
Representation Learning: A Review and New Perspectives Bengio, Y.; Courville, A.; Vincent, P. IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 35, Issue 8 https://doi.org/10.1109/TPAMI.2013.50	journal	August 2013
Prognosis of Bearing Failures Using Hidden Markov Models and the Adaptive Neuro-Fuzzy Inference System Soualhi, Abdenour; Razik, Hubert; Clerc, Guy IEEE Transactions on Industrial Electronics, Vol. 61, Issue 6 https://doi.org/10.1109/TIE.2013.2274415	journal	June 2014
Condition Monitoring, Diagnosis, Prognosis, and Health Management for Wind Energy Conversion Systems Qiao, Wei; Zhang, Pinjia; Chow, Mo-Yuen IEEE Transactions on Industrial Electronics, Vol. 62, Issue 10 https://doi.org/10.1109/TIE.2015.2464785	journal	October 2015
Discovering Prognostic Features Using Genetic Programming in Remaining Useful Life Prediction Liao, Linxia IEEE Transactions on Industrial Electronics, Vol. 61, Issue 5 https://doi.org/10.1109/TIE.2013.2270212	journal	May 2014
Time-Frequency Tracking of Spectral Structures Estimated by a Data-Driven Method Gerber, Timothee; Martin, Nadine; Mailhes, Corinne IEEE Transactions on Industrial Electronics, Vol. 62, Issue 10 https://doi.org/10.1109/TIE.2015.2458781	journal	October 2015
Machine Health Monitoring Using Local Feature-Based Gated Recurrent Unit Networks Zhao, Rui; Wang, Dongzhe; Yan, Ruqiang IEEE Transactions on Industrial Electronics, Vol. 65, Issue 2 https://doi.org/10.1109/TIE.2017.2733438	journal	February 2018
Health Index-Based Prognostics for Remaining Useful Life Predictions in Electrical Machines Yang, Feng; Habibullah, Mohamed Salahuddin; Zhang, Tianyou IEEE Transactions on Industrial Electronics, Vol. 63, Issue 4 https://doi.org/10.1109/TIE.2016.2515054	journal	April 2016
Service Innovation and Smart Analytics for Industry 4.0 and Big Data Environment Lee, Jay; Kao, Hung-An; Yang, Shanhu Procedia CIRP, Vol. 16 https://doi.org/10.1016/j.procir.2014.02.001	journal	January 2014
A recurrent neural network based health indicator for remaining useful life prediction of bearings Guo, Liang; Li, Naipeng; Jia, Feng Neurocomputing, Vol. 240 https://doi.org/10.1016/j.neucom.2017.02.045	journal	May 2017
Data-Driven Monitoring and Safety Control of Industrial Cyber-Physical Systems: Basics and Beyond Jiang, Yuchen; Yin, Shen; Kaynak, Okyay IEEE Access, Vol. 6 https://doi.org/10.1109/ACCESS.2018.2866403	journal	January 2018
Real-Time Monitoring and Control of Industrial Cyberphysical Systems: With Integrated Plant-Wide Monitoring and Control Framework Yin, Shen; Rodriguez-Andina, Juan J.; Jiang, Yuchen IEEE Industrial Electronics Magazine, Vol. 13, Issue 4 https://doi.org/10.1109/MIE.2019.2938025	journal	December 2019
Remaining useful life estimation in prognostics using deep convolution neural networks Li, Xiang; Ding, Qian; Sun, Jian-Qiao Reliability Engineering & System Safety, Vol. 172 https://doi.org/10.1016/j.ress.2017.11.021	journal	April 2018
Prognosis of Bearing Acoustic Emission Signals Using Supervised Machine Learning Elforjani, Mohamed; Shanbr, Suliman IEEE Transactions on Industrial Electronics, Vol. 65, Issue 7 https://doi.org/10.1109/TIE.2017.2767551	journal	July 2018
Intelligent modelling of sandstone deformation behaviour using fuzzy logic and neural network systems Bejarbaneh, Behnam Yazdani; Bejarbaneh, Elham Yazdani; Amin, Mohd For Mohd Bulletin of Engineering Geology and the Environment, Vol. 77, Issue 1 https://doi.org/10.1007/s10064-016-0983-2	journal	November 2016
Recent Advances in Key-Performance-Indicator Oriented Prognosis and Diagnosis With a MATLAB Toolbox: DB-KIT Jiang, Yuchen; Yin, Shen IEEE Transactions on Industrial Informatics, Vol. 15, Issue 5 https://doi.org/10.1109/TII.2018.2875067	journal	May 2019
A Novel Framework for Gear Safety Factor Prediction Li, Jie; Liu, Song; He, Haibo IEEE Transactions on Industrial Informatics, Vol. 15, Issue 4 https://doi.org/10.1109/TII.2018.2868359	journal	April 2019
Pearson's correlation coefficient Sedgwick, P. BMJ, Vol. 345, Issue jul04 1 https://doi.org/10.1136/bmj.e4483	journal	July 2012
Feature Evaluation for Effective Bearing Prognostics Camci, F.; Medjaher, K.; Zerhouni, N. Quality and Reliability Engineering International, Vol. 29, Issue 4 https://doi.org/10.1002/qre.1396	journal	March 2012

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