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5. A Risk-Averse Remaining Useful Life Estimation for Predictive Maintenance

A Risk-Averse Remaining Useful Life Estimation for Predictive Maintenance

来源 :自动化学报:英文版 | 被引量 : 0次 | 上传用户：wumin6230

【摘 要】

：

Remaining useful life(RUL)prediction is an advanced technique for system maintenance scheduling.Most of existing RUL prediction methods are only interested in t

【作 者】

：

Chuang Chen Ningyun Lu Bin Jia 

【机 构】

：

CollegeofAutomationEngineering

【出 处】

：

自动化学报:英文版

【发表日期】

：

2021年2期

【关键词】

：

Long short-term memory(LSTM)network predictive maintenance remaining useful life 

【基金项目】

：

support by Natural Science Foundation of China(61873122)

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Remaining useful life(RUL)prediction is an advanced technique for system maintenance scheduling.Most of existing RUL prediction methods are only interested in the precision of RUL estimation;the adverse impact of overestimated RUL on maintenance schedulin

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