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International Journal of Production Research Volume 49, 2011 - Issue 7
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Original Articles

Optimal variability sensitive condition-based maintenance with a Cox PH model

Nan Chen Department of Industrial and Systems Engineering, University of Wisconsin–Madison, USA
,
Yong Chen Department of Mechanical and Industrial Engineering, University of Iowa, Iowa City, Iowa, USA
,
Zhiguo Li Xerox R&D Center, Rochester, New York, USA
,
Shiyu Zhou Department of Industrial and Systems Engineering, University of Wisconsin–Madison, USACorrespondence[email protected]
&
Cris Sievenpiper GE Healthcare, Pewaukee, Wisconsin, USA
Pages 2083-2100 | Received 04 Oct 2009, Accepted 10 Feb 2010, Published online: 28 Apr 2010

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Vincent Ciancio, Lazhar Homri, Jean-Yves Dantan & Ali Siadat. (2023) Development of a flexible data management system, to implement predictive maintenance in the Industry 4.0 context. International Journal of Production Research 0:0, pages 1-17.
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Wujun Si, Qingyu Yang & Xin Wu. (2019) Material Degradation Modeling and Failure Prediction Using Microstructure Images. Technometrics 61:2, pages 246-258.
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H. Cherkaoui, K.T. Huynh & A. Grall. (2018) Quantitative assessments of performance and robustness of maintenance policies for stochastically deteriorating production systems. International Journal of Production Research 56:3, pages 1089-1108.
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Linmiao Zhang, Yong Lei & Houcai Shen. (2016) How heterogeneity influences condition-based maintenance for gamma degradation process. International Journal of Production Research 54:19, pages 5829-5841.
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Nan Chen & Kwok Leung Tsui. (2013) Condition monitoring and remaining useful life prediction using degradation signals: revisited. IIE Transactions 45:9, pages 939-952.
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Tangbin Xia, Lifeng Xi, Xiaojun Zhou & Jay Lee. (2013) Condition-based maintenance for intelligent monitored series system with independent machine failure modes. International Journal of Production Research 51:15, pages 4585-4596.
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Xiao Liu, Jingrui Li, KhalifaN. Al-Khalifa, AbdelmagidS. Hamouda, DavidW. Coit & ElsayedA. Elsayed. (2013) Condition-based maintenance for continuously monitored degrading systems with multiple failure modes. IIE Transactions 45:4, pages 422-435.
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Articles from other publishers (11)

Hongsheng Su, Yifan Zhao & Xueqian Wang. (2023) Analysis of a State Degradation Model and Preventive Maintenance Strategies for Wind Turbine Generators Based on Stochastic Differential Equations. Mathematics 11:12, pages 2608.
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Kamyar Azar, Zohreh Hajiakhondi-Meybodi & Farnoosh Naderkhani. (2022) Semi-supervised clustering-based method for fault diagnosis and prognosis: A case study. Reliability Engineering & System Safety 222, pages 108405.
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Nailong Zhang & Wujun Si. (2020) Deep reinforcement learning for condition-based maintenance planning of multi-component systems under dependent competing risks. Reliability Engineering & System Safety 203, pages 107094.
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Kamyar Azar & Farnoosh Naderkhani. (2020) Semi-Supervised Learning Approach for Optimizing Condition-based-Maintenance (CBM) Decisions. Semi-Supervised Learning Approach for Optimizing Condition-based-Maintenance (CBM) Decisions.
Xinyang Tao, Tangbin Xia & Lifeng Xi. (2017) Dynamic Opportunistic Maintenance Scheduling for Series Systems Based on Theory of Constraints (TOC)–VLLTW Methodology. Journal of Manufacturing Science and Engineering 139:2.
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Xiao-Sheng Si, Zheng-Xin Zhang & Chang-Hua HuXiao-Sheng Si, Zheng-Xin Zhang & Chang-Hua Hu. 2017. Data-Driven Remaining Useful Life Prognosis Techniques. Data-Driven Remaining Useful Life Prognosis Techniques 419 430 .
Xiao-Sheng Si, Zheng-Xin Zhang & Chang-Hua HuXiao-Sheng Si, Zheng-Xin Zhang & Chang-Hua Hu. 2017. Data-Driven Remaining Useful Life Prognosis Techniques. Data-Driven Remaining Useful Life Prognosis Techniques 393 404 .
Hajar Cherkaoui, Khac Tuan Huynh & Antoine Grall. (2016) Towards an Efficient and Robust Maintenance Decision-Making. Towards an Efficient and Robust Maintenance Decision-Making.
H. Cherkaoui, K.T. Huynh & A. Grall. (2016) On the Assessment of Performance and Robustness of Condition-Based Maintenance Strategies. IFAC-PapersOnLine 49:12, pages 809-814.
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Xiaosheng Si, Changhua Hu & Wenbin Wang. (2012) A real-time variable cost-based maintenance model from prognostic information. A real-time variable cost-based maintenance model from prognostic information.
Xiao Liu, Jingrui Li, Khalifa Al-Khalifa, Abdel. M. Hamouda, David W. Coit & Elsayed A. Elsayed. (2012) A framework for condition-based maintenance scheduling. A framework for condition-based maintenance scheduling.

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