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Journal of Statistical Computation and Simulation Volume 87, 2017 - Issue 11
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Original Articles

Bivariate degradation modelling with marginal heterogeneous stochastic processes

Luis Alberto Rodríguez-PicónDepartment of Industrial Engineering and Manufacturing, Institute of Engineering and Technology, Autonomous University of Ciudad Juárez, Ciudad Juárez, MexicoCorrespondence[email protected]
ORCID Iconhttp://orcid.org/0000-0003-2951-2344
ORCID Icon,
Víctor Hugo Flores-OchoaTechnological Institute of Ciudad Juárez, Ciudad Juárez, Mexico
,
Luis Carlos Méndez-GonzálezDepartment of Industrial Engineering and Manufacturing, Institute of Engineering and Technology, Autonomous University of Ciudad Juárez, Ciudad Juárez, Mexico
&
Manuel Arnoldo Rodríguez-MedinaTechnological Institute of Ciudad Juárez, Ciudad Juárez, Mexico
Pages 2207-2226 | Received 26 Aug 2016, Accepted 26 Apr 2017, Published online: 10 May 2017

Citations (15)

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Qingqing Zhai & Zhi-Sheng Ye. (2023) A Multivariate Stochastic Degradation Model for Dependent Performance Characteristics. Technometrics 65:3, pages 315-327.
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Xudan Chen & Xinli Sun. (2022) Reliability assessment for products with two performance characteristics based on marginal stochastic processes and copulas. Communications in Statistics - Simulation and Computation 51:7, pages 3621-3644.
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Articles from other publishers (13)

Xin Wu, Tingting Huang & Jie Liu. (2023) Common stochastic effects induced multivariate degradation process with temporal dependency in degradation characteristic and unit dimensions. Reliability Engineering & System Safety 239, pages 109505.
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Yuhan Hu & Mengmeng Zhu. 2023. Predictive Analytics in System Reliability. Predictive Analytics in System Reliability 19 38 .
Junqi Long, Chuanhai Chen, Zhifeng Liu, Jinyan Guo & Weizheng Chen. (2022) Stochastic hybrid system approach to task-orientated remaining useful life prediction under time-varying operating conditions. Reliability Engineering & System Safety 225, pages 108568.
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Chengqiang Yang, Xiaohui Gu & Fangchao Zhao. (2022) Reliability analysis of degrading systems based on time-varying copula. Microelectronics Reliability 136, pages 114628.
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Fengjun Duan & Guanjun Wang. (2022) Bayesian analysis for the transformed exponential dispersion process with random effects. Reliability Engineering & System Safety 217, pages 108104.
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Zhenyu Wu & Yanting Li. (2021) An integrated maintenance strategy of wind turbine based on statistic process control. An integrated maintenance strategy of wind turbine based on statistic process control.
Di Liu & Shaoping Wang. (2021) An artificial neural network supported stochastic process for degradation modeling and prediction. Reliability Engineering & System Safety 214, pages 107738.
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Fuqiang Sun, Fangyou Fu, Haitao Liao & Dan Xu. (2020) Analysis of multivariate dependent accelerated degradation data using a random-effect general Wiener process and D-vine Copula. Reliability Engineering & System Safety 204, pages 107168.
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Wen Chen & Guangyan Zhao. (2020) A Multivariate Correlation Degradation Model for Reliability Analysis Based on Copula. A Multivariate Correlation Degradation Model for Reliability Analysis Based on Copula.
Shaowei Chen, Meinan Wang, Dengshan Huang, Pengfei Wen, Shengyue Wang & Shuai Zhao. (2020) Remaining Useful Life Prediction for Complex Systems With Multiple Indicators Based on Particle Filter and Parameter Correlation. IEEE Access 8, pages 215145-215156.
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Guanqi Fang, Rong Pan & Yili Hong. (2020) Copula-based reliability analysis of degrading systems with dependent failures. Reliability Engineering & System Safety 193, pages 106618.
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Weiwen Peng, Zhi-Sheng Ye & Nan Chen. (2019) Joint Online RUL Prediction for Multivariate Deteriorating Systems. IEEE Transactions on Industrial Informatics 15:5, pages 2870-2878.
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Di Liu, Shaoping Wang, Chao Zhang & Mileta Tomovic. (2018) Bayesian model averaging based reliability analysis method for monotonic degradation dataset based on inverse Gaussian process and Gamma process. Reliability Engineering & System Safety 180, pages 25-38.
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