研究论文
Degradation data analysis and remaining useful life estimation: A review on Wiener-process-based methods
Zhengxin Zhang, Xiaosheng Si, Changhua Hu, Yaguo Lei
Xi'an High Tech University Xi'an Jiaotong University
来源European Journal of Operational Research
年份2018
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工程Reliability and Maintenance Optimization
Statistical Distribution Estimation and Applications · Probabilistic and Robust Engineering Design
参考文献 292
Failure inference from a marker process based on a bivariate Wiener model.
被引 163G. A. Whitmore, M. J. Crowder, Jerald F. Lawless · Lifetime Data Analysis · 1998
The Wiener Process as a Degradation Model: Modeling and Parameter Estimation
被引 32Waltraud Kahle, Axel Lehmann · Birkhäuser Boston eBooks · 2009
Some Remarks on Failure-times, Surrogate Markers, Degradation, Wear, and the Quality of Life
被引 58D. R. Cox · Lifetime Data Analysis · 1999
此处列出前 3 条
引用本文 689
Battery Lifetime Prognostics
被引 1,284Xiaosong Hu, Le Xu, Xianke Lin · Joule · 2020
Gated recurrent unit based recurrent neural network for remaining useful life prediction of nonlinear deterioration process
被引 494Jinglong Chen, Hongjie Jing, Yuanhong Chang · Reliability Engineering & System Safety · 2019
A review on online state of charge and state of health estimation for lithium-ion batteries in electric vehicles
被引 442Zuolu Wang, Guojin Feng, Dong Zhen · Energy Reports · 2021
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