Practical options for selecting data-driven or physics-based prognostics algorithms with reviews

标题
Practical options for selecting data-driven or physics-based prognostics algorithms with reviews
作者
关键词
Data-driven prognostics, Physics-based prognostics, Neural network, Gaussian process regression, Particle filter, Bayesian inference
出版物
RELIABILITY ENGINEERING & SYSTEM SAFETY
Volume 133, Issue -, Pages 223-236
出版商
Elsevier BV
发表日期
2014-09-22
DOI
10.1016/j.ress.2014.09.014

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