Sensors | |
Degradation Prediction Model Based on a Neural Network with Dynamic Windows | |
Xinghui Zhang2  Lei Xiao1  Jianshe Kang2  | |
[1]The State Key Lab of Mechanical Transmission, Chongqing University, Chongqing 400030, China | |
[2]Mechanical Engineering College, Shijiazhuang 050003, China | |
[3] E-Mails: | |
关键词: degradation tracking; remaining useful life; neural network; dynamic window; | |
DOI : 10.3390/s150306996 | |
来源: mdpi | |
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【 摘 要 】
Tracking degradation of mechanical components is very critical for effective maintenance decision making. Remaining useful life (RUL) estimation is a widely used form of degradation prediction. RUL prediction methods when enough run-to-failure condition monitoring data can be used have been fully researched, but for some high reliability components, it is very difficult to collect run-to-failure condition monitoring data,
【 授权许可】
CC BY
© 2015 by the authors; licensee MDPI, Basel, Switzerland.
【 预 览 】
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RO202003190014859ZK.pdf | 1296KB | ![]() |