Individualized Degradation Modeling and Prognostics in a Heterogeneous Group via Incorporating Intrinsic Covariate Information

Kim, Minhee; Song, Changyue; Liu, Kaibo

doi:10.1109/tase.2021.3070532

Individualized Degradation Modeling and Prognostics in a Heterogeneous Group via Incorporating Intrinsic Covariate Information

Journal Article · 01 July 2022 · IEEE Transactions on Automation Science and Engineering

DOI:https://doi.org/10.1109/tase.2021.3070532· OSTI ID:1980457

^[1]; ^[2]; ^[1]

Department of Industrial and Systems Engineering, University of Wisconsin–,Madison, Madison, WI, USA
School of Systems and Enterprises, Stevens Institute of Technology, Hoboken, NJ, USA

Not provided.

Research Organization:: Univ. of Wisconsin, Madison, WI (United States)

Sponsoring Organization:: USDOE Office of Nuclear Energy (NE)

DOE Contract Number:: NE0008993

OSTI ID:: 1980457

Journal Information:: IEEE Transactions on Automation Science and Engineering, Vol. 19, Issue 3; ISSN 1545-5955

Publisher:: IEEE

Country of Publication:: United States

Language:: English

References (46)

Multivariate Gaussian Process Emulators With Nonseparable Covariance Structures Fricker, Thomas E.; Oakley, Jeremy E.; Urban, Nathan M. Technometrics, Vol. 55, Issue 1 https://doi.org/10.1080/00401706.2012.715835	journal	August 2012
A Data-Level Fusion Model for Developing Composite Health Indices for Degradation Modeling and Prognostic Analysis Liu, Kaibo; Gebraeel, Nagi Z.; Shi, Jianjun IEEE Transactions on Automation Science and Engineering, Vol. 10, Issue 3 https://doi.org/10.1109/TASE.2013.2250282	journal	July 2013
Residual lifetime prediction for lithium-ion battery based on functional principal component analysis and Bayesian approach Cheng, Yujie; Lu, Chen; Li, Tieying Energy, Vol. 90 https://doi.org/10.1016/j.energy.2015.07.022	journal	October 2015
Prognostics of Lithium ion battery using functional principal component analysis Guo, Jian; Li, Zhaojun 2017 IEEE International Conference on Prognostics and Health Management (ICPHM) https://doi.org/10.1109/ICPHM.2017.7998299	conference	June 2017
Functional Data Analysis Ramsay, J. O.; Silverman, B. W. Springer Series in Statistics https://doi.org/10.1007/b98888	book	January 2005
Bayesian emulation of complex multi-output and dynamic computer models Conti, Stefano; O’Hagan, Anthony Journal of Statistical Planning and Inference, Vol. 140, Issue 3 https://doi.org/10.1016/j.jspi.2009.08.006	journal	March 2010
A data-level fusion approach for degradation modeling and prognostic analysis under multiple failure modes Chehade, Abdallah; Song, Changyue; Liu, Kaibo Journal of Quality Technology, Vol. 50, Issue 2 https://doi.org/10.1080/00224065.2018.1436829	journal	April 2018
Integration of Data-Level Fusion Model and Kernel Methods for Degradation Modeling and Prognostic Analysis Song, Changyue; Liu, Kaibo; Zhang, Xi IEEE Transactions on Reliability, Vol. 67, Issue 2 https://doi.org/10.1109/TR.2017.2715180	journal	June 2018
Gaussian Process Functional Regression Modeling for Batch Data Shi, J. Q.; Wang, B.; Murray-Smith, R. Biometrics, Vol. 63, Issue 3 https://doi.org/10.1111/j.1541-0420.2007.00758.x	journal	February 2007
Nonparametric Modeling and Prognosis of Condition Monitoring Signals Using Multivariate Gaussian Convolution Processes Kontar, Raed; Zhou, Shiyu; Sankavaram, Chaitanya Technometrics, Vol. 60, Issue 4 https://doi.org/10.1080/00401706.2017.1383310	journal	June 2018
The Role of Coding Time in Estimating and Interpreting Growth Curve Models. Biesanz, Jeremy C.; Deeb-Sossa, Natalia; Papadakis, Alison A. Psychological Methods, Vol. 9, Issue 1 https://doi.org/10.1037/1082-989X.9.1.30	journal	January 2004
A Collaborative Learning Framework for Estimating Many Individualized Regression Models in a Heterogeneous Population Lin, Ying; Liu, Kaibo; Byon, Eunshin IEEE Transactions on Reliability, Vol. 67, Issue 1 https://doi.org/10.1109/TR.2017.2767941	journal	March 2018
Structural Degradation Modeling Framework for Sparse Data Sets With an Application on Alzheimer’s Disease Chehade, Abdallah; Liu, Kaibo IEEE Transactions on Automation Science and Engineering, Vol. 16, Issue 1 https://doi.org/10.1109/TASE.2018.2829770	journal	January 2019
A review on machinery diagnostics and prognostics implementing condition-based maintenance Jardine, Andrew K. S.; Lin, Daming; Banjevic, Dragan Mechanical Systems and Signal Processing, Vol. 20, Issue 7 https://doi.org/10.1016/j.ymssp.2005.09.012	journal	October 2006
Using Degradation Measures to Estimate a Time-to-Failure Distribution Lu, C. Joseph; Meeker, William Q. Technometrics, Vol. 35, Issue 2 https://doi.org/10.2307/1269661	journal	May 1993
Plant machinery working life prediction method utilizing reliability and condition-monitoring data Goode, K. B.; Moore, J.; Roylance, B. J. Proceedings of the Institution of Mechanical Engineers, Part E: Journal of Process Mechanical Engineering, Vol. 214, Issue 2 https://doi.org/10.1243/0954408001530146	journal	May 2000
Statistical Methods for Degradation Data With Dynamic Covariates Information and an Application to Outdoor Weathering Data Hong, Yili; Duan, Yuanyuan; Meeker, William Q. Technometrics, Vol. 57, Issue 2 https://doi.org/10.1080/00401706.2014.915891	journal	April 2015
Sensory-Updated Residual Life Distributions for Components With Exponential Degradation Patterns Gebraeel, N. IEEE Transactions on Automation Science and Engineering, Vol. 3, Issue 4 https://doi.org/10.1109/TASE.2006.876609	journal	October 2006
A Transfer Learning Approach for Predictive Modeling of Degenerate Biological Systems Zou, Na; Zhu, Yun; Zhu, Ji Technometrics, Vol. 57, Issue 3 https://doi.org/10.1080/00401706.2015.1044117	journal	May 2015
Transfer Learning for Survival Analysis via Efficient L2,1-Norm Regularized Cox Regression Li, Yan; Wang, Lu; Wang, Jie 2016 IEEE 16th International Conference on Data Mining (ICDM) https://doi.org/10.1109/ICDM.2016.0034	conference	December 2016
“Mini-mental state” Folstein, Marshal F.; Folstein, Susan E.; McHugh, Paul R. Journal of Psychiatric Research, Vol. 12, Issue 3 https://doi.org/10.1016/0022-3956(75)90026-6	journal	November 1975
Modeling Memory Decline in Older Adults: The Importance of Preclinical Dementia, Attrition, and Chronological Age. Sliwinski, Martin J.; Hofer, Scott M.; Hall, Charles Psychology and Aging, Vol. 18, Issue 4 https://doi.org/10.1037/0882-7974.18.4.658	journal	December 2003
The Alzheimer's disease neuroimaging initiative (ADNI): MRI methods Jack, Clifford R.; Bernstein, Matt A.; Fox, Nick C. Journal of Magnetic Resonance Imaging, Vol. 27, Issue 4 https://doi.org/10.1002/jmri.21049	journal	January 2008
Disease progression model for cognitive deterioration from Alzheimer's Disease Neuroimaging Initiative database Ito, Kaori; Corrigan, Brian; Zhao, Qinying Alzheimer's & Dementia, Vol. 7, Issue 2 https://doi.org/10.1016/j.jalz.2010.03.018	journal	September 2010
Nonlinear general path models for degradation data with dynamic covariates Xu, Zhibing; Hong, Yili; Jin, Ran Applied Stochastic Models in Business and Industry, Vol. 32, Issue 2 https://doi.org/10.1002/asmb.2129	journal	August 2015
Modeling Clustered Survival Times of Loblolly Pine with Time-dependent Covariates and Shared Frailties Thapa, Ram; Burkhart, Harold E.; Li, Jie Journal of Agricultural, Biological, and Environmental Statistics, Vol. 21, Issue 1 https://doi.org/10.1007/s13253-015-0217-2	journal	September 2015
Field-Failure Predictions Based on Failure-Time Data With Dynamic Covariate Information Hong, Yili; Meeker, William Q. Technometrics, Vol. 55, Issue 2 https://doi.org/10.1080/00401706.2013.765324	journal	May 2013
Regression Models and Life-Tables Cox, D. R. Journal of the Royal Statistical Society: Series B (Methodological), Vol. 34, Issue 2 https://doi.org/10.1111/j.2517-6161.1972.tb00899.x	journal	January 1972
Machine performance degradation assessment and remaining useful life prediction using proportional hazard model and support vector machine Tran, Van Tung; Thom Pham, Hong; Yang, Bo-Suk Mechanical Systems and Signal Processing, Vol. 32 https://doi.org/10.1016/j.ymssp.2012.02.015	journal	October 2012
A finite horizon model for repairable systems with repair restrictions Lugtigheid, D.; Jiang, X.; Jardine, A. K. S. Journal of the Operational Research Society, Vol. 59, Issue 10 https://doi.org/10.1057/palgrave.jors.2602471	journal	October 2008
Condition-based inspection/replacement policies for non-monotone deteriorating systems with environmental covariates Zhao, Xuejing; Fouladirad, Mitra; Bérenguer, Christophe Reliability Engineering & System Safety, Vol. 95, Issue 8 https://doi.org/10.1016/j.ress.2010.04.005	journal	August 2010
A survey of transfer learning Weiss, Karl; Khoshgoftaar, Taghi M.; Wang, DingDing Journal of Big Data, Vol. 3, Issue 1 https://doi.org/10.1186/s40537-016-0043-6	journal	May 2016
A Survey on Transfer Learning Pan, Sinno Jialin; Yang, Qiang IEEE Transactions on Knowledge and Data Engineering, Vol. 22, Issue 10 https://doi.org/10.1109/TKDE.2009.191	journal	October 2010
A Generic Health Index Approach for Multisensor Degradation Modeling and Sensor Selection Kim, Minhee; Song, Changyue; Liu, Kaibo IEEE Transactions on Automation Science and Engineering, Vol. 16, Issue 3 https://doi.org/10.1109/TASE.2018.2890608	journal	July 2019
Irradiation Performance of Cladding and Structural Steels in Liquid Metal Reactors Garner, Frank Materials Science and Technology https://doi.org/10.1002/9783527603978.mst0110	book	September 2006
Controlling the Residual Life Distribution of Parallel Unit Systems Through Workload Adjustment Hao, Li; Liu, Kaibo; Gebraeel, Nagi IEEE Transactions on Automation Science and Engineering, Vol. 14, Issue 2 https://doi.org/10.1109/TASE.2015.2481703	journal	April 2017
Estimating Drug Shelf-Life with Random Batches Chow, Shein-Chung; Shao, Jun Biometrics, Vol. 47, Issue 3 https://doi.org/10.2307/2532659	journal	September 1991
Modelling Mini Mental State Examination changes in Alzheimer's disease Mendiondo, Marta S.; Ashford, J. Wesson; Kryscio, Richard J. Statistics in Medicine, Vol. 19, Issue 11-12 https://doi.org/10.1002/(SICI)1097-0258(20000615/30)19:11/12<1607::AID-SIM449>3.0.CO;2-O	journal	June 2000
Reliability of complex systems under dynamic conditions: A Bayesian multivariate degradation perspective Peng, Weiwen; Li, Yan-Feng; Mi, Jinhua Reliability Engineering & System Safety, Vol. 153 https://doi.org/10.1016/j.ress.2016.04.005	journal	September 2016
Model Learning with Local Gaussian Process Regression Nguyen-Tuong, Duy; Seeger, Matthias; Peters, Jan Advanced Robotics, Vol. 23, Issue 15 https://doi.org/10.1163/016918609X12529286896877	journal	January 2009
Smooth Varying-Coefficient Estimation and Inference for Qualitative and Quantitative data Li, Qi; Racine, Jeffrey S. Econometric Theory, Vol. 26, Issue 6 https://doi.org/10.1017/S0266466609990739	journal	March 2010
Modeling disease progression via fused sparse group lasso Zhou, Jiayu; Liu, Jun; Narayan, Vaibhav A. Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining https://doi.org/10.1145/2339530.2339702	conference	August 2012
The Inverse Gaussian Process as a Degradation Model Ye, Zhi-Sheng; Chen, Nan Technometrics, Vol. 56, Issue 3 https://doi.org/10.1080/00401706.2013.830074	journal	July 2014
Gaussian Process Models for Computer Experiments With Qualitative and Quantitative Factors Qian, Peter Z. G.; Wu, Huaiqing; Wu, C. F. Jeff Technometrics, Vol. 50, Issue 3 https://doi.org/10.1198/004017008000000262	journal	August 2008
Statistical methods with varying coefficient models Fan, Jianqing; Zhang, Wenyang Statistics and Its Interface, Vol. 1, Issue 1 https://doi.org/10.4310/SII.2008.v1.n1.a15	journal	January 2008
Sensory-Based Failure Threshold Estimation for Remaining Useful Life Prediction Chehade, Abdallah; Bonk, Scott; Liu, Kaibo IEEE Transactions on Reliability, Vol. 66, Issue 3 https://doi.org/10.1109/TR.2017.2695119	journal	September 2017

Similar Records

Individualized Degradation Modeling and Prognostics in a Heterogeneous Group via Incorporating Intrinsic Covariate Information

Journal Article · 2021 · IEEE Transactions on Automation Science and Engineering · OSTI ID:2007824

Kim, Minhee; Song, Changyue; Liu, Kaibo

Importance of cobalt for individual trophic groups in an anaerobic methanol-degrading consortium

Journal Article · 1994 · Applied and Environmental Microbiology; (United States) · OSTI ID:7181467

Florencio, L; FIeld, J A; Lettinga, G

Building Local Models for Flexible Degradation Modeling and Prognostics

Journal Article · 2022 · IEEE Transactions on Automation Science and Engineering · OSTI ID:2418337

Song, Changyue; Zheng, Ziqian; Liu, Kaibo

Related Subjects

Automation & Control Systems

Individualized Degradation Modeling and Prognostics in a Heterogeneous Group via Incorporating Intrinsic Covariate Information

Citation Formats

References (46)

Similar Records

Related Subjects