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IIE Transactions Volume 46, 2014 - Issue 11: Operations Engineering & Analytics
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Original Articles

A switching diffusion model for lifetime estimation in randomly varying environments

John A. FloryDepartment of Industrial Engineering, University of Pittsburgh, 1048 Benedum Hall, 3700 O’Hara Street, Pittsburgh, PA15261, USA E-mail: [email protected]View further author information
,
Jeffrey P. KharoufehDepartment of Industrial Engineering, University of Pittsburgh, 1048 Benedum Hall, 3700 O’Hara Street, Pittsburgh, PA15261, USA E-mail: [email protected]View further author information
&
Nagi Z. GebraeelH. Milton Stewart School of Industrial and Systems Engineering, Georgia Institute of Technology, Atlanta, GA30332, USAView further author information
Pages 1227-1241 | Received 01 Aug 2013, Accepted 01 Jan 2014, Published online: 28 Jul 2014

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Qingqing Zhai & Zhi-Sheng Ye. (2018) Degradation in Common Dynamic Environments. Technometrics 60:4, pages 461-471.
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Jingyuan Shen & Lirong Cui. (2017) Reliability performance for dynamic multi-state repairable systems with regimes. IISE Transactions 49:9, pages 911-926.
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Linkan Bian, Nagi Gebraeel & Jeffrey P. Kharoufeh. (2015) Degradation modeling for real-time estimation of residual lifetimes in dynamic environments. IIE Transactions 47:5, pages 471-486.
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Articles from other publishers (21)

Chaoqun Duan, Tongxin Deng, Lei Song, Min Wang & Bo Sheng. (2023) An adaptive reliability-based maintenance policy for mechanical systems under variable environments. Reliability Engineering & System Safety 238, pages 109396.
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Tao Jiang, Yu Liu & Zhi‐Sheng Ye. (2023) A stochastic time scale based framework for system reliability under a Markovian dynamic environment. Naval Research Logistics (NRL) 70:4, pages 320-339.
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Junyan Ma, Yiping Yuan & Pan Chen. (2022) A fault prediction framework for Doubly‐fed induction generator under time‐varying operating conditions driven by digital twin. IET Electric Power Applications 17:4, pages 499-521.
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Chaoqun Duan & Peiwen Chen. (2023) Adaptive Maintenance Scheme for Degrading Devices With Dynamic Conditions and Random Failures. IEEE Transactions on Industrial Informatics 19:3, pages 2508-2519.
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Ameneh Forouzandeh Shahraki, Sameer Al-Dahidi, Ali Rahim Taleqani & Om Prakash Yadav. (2022) Using LSTM neural network to predict remaining useful life of electrolytic capacitors in dynamic operating conditions. Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability 237:1, pages 16-28.
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Zhiyao Zhang, Xiaohui Chen & Enrico Zio. (2022) A framework for predicting the remaining useful life of machinery working under time-varying operational conditions. Applied Soft Computing 126, pages 109164.
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Fuqiang Sun, Hongxuan Guo, Ning Wang & Wei Zhang. (2021) Remaining useful life prediction for bivariate deteriorating systems under dynamic operational conditions. Quality and Reliability Engineering International 38:4, pages 1729-1749.
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Liang Chang, Yan‐Hui Lin & Enrico Zio. (2021) Remaining useful life prediction for complex systems considering varying future operational conditions. Quality and Reliability Engineering International 38:1, pages 516-531.
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Peng Luo, Niaoqing Hu, Lun Zhang, Jian Shen & Zhe Cheng. (2021) Improved phase space warping method for degradation tracking of rotating machinery under variable working conditions. Mechanical Systems and Signal Processing 157, pages 107696.
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Jiawen Hu, Ancha Xu, Bo Li & Haitao Liao. (2021) Condition-based maintenance planning for multi-state systems under time-varying environmental conditions. Computers & Industrial Engineering 158, pages 107380.
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Bingxin Yan, Xiaobing Ma, Guifa Huang & Yu Zhao. (2021) Two-stage physics-based Wiener process models for online RUL prediction in field vibration data. Mechanical Systems and Signal Processing 152, pages 107378.
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Jingyuan Shen, Jiawen Hu & Yizhong Ma. (2020) Two preventive replacement strategies for systems with protective auxiliary parts subject to degradation and economic dependence. Reliability Engineering & System Safety 204, pages 107144.
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Song Li, Zhiyong Chen, Qiaobin Liu, Wenku Shi & Kunheng Li. (2020) Modeling and Analysis of Performance Degradation Data for Reliability Assessment: A Review. IEEE Access 8, pages 74648-74678.
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Naipeng Li, Nagi Gebraeel, Yaguo Lei, Linkan Bian & Xiaosheng Si. (2019) Remaining useful life prediction of machinery under time-varying operating conditions based on a two-factor state-space model. Reliability Engineering & System Safety 186, pages 88-100.
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Zhengxin Zhang, Xiaosheng Si, Changhua Hu & Yaguo Lei. (2018) Degradation data analysis and remaining useful life estimation: A review on Wiener-process-based methods. European Journal of Operational Research 271:3, pages 775-796.
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Weiwen Peng, Lanqing Hong & Zhisheng Ye. 2017. Statistical Modeling for Degradation Data. Statistical Modeling for Degradation Data 81 103 .
Hao Yan, Kaibo Liu, Xi Zhang & Jianjun Shi. (2016) Multiple Sensor Data Fusion for Degradation Modeling and Prognostics Under Multiple Operational Conditions. IEEE Transactions on Reliability 65:3, pages 1416-1426.
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Weiwen Peng, Yan-Feng Li, Jinhua Mi, Le Yu & Hong-Zhong Huang. (2016) Reliability of complex systems under dynamic conditions: A Bayesian multivariate degradation perspective. Reliability Engineering & System Safety 153, pages 75-87.
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Ramin Moghaddass & Cynthia Rudin. (2015) The latent state hazard model, with application to wind turbine reliability. The Annals of Applied Statistics 9:4.
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John A. Flory, Jeffrey P. Kharoufeh & David T. Abdul-Malak. (2015) Optimal replacement of continuously degrading systems in partially observed environments. Naval Research Logistics (NRL) 62:5, pages 395-415.
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Junyan Ma, Yiping Yuan & Pan Chen. (2022) Spatiotemporal Attention-Based Long Short-Term Memory Auto-Encoder Network for Fault Detection of Wind Turbine Generators. SSRN Electronic Journal.
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