A generalized remaining useful life prediction method for complex systems based on composite health indicator

2021 ◽  
Vol 205 ◽  
pp. 107241 ◽  
Author(s):  
Pengfei Wen ◽  
Shuai Zhao ◽  
Shaowei Chen ◽  
Yong Li
Keyword(s):  
Complex Systems ◽  
Life Prediction ◽  
Prediction Method ◽  
Remaining Useful Life ◽  
Health Indicator ◽  
Useful Life

Hybrid remaining useful life prediction method. A case study on railway D-cables

2021 ◽  
pp. 107746
Author(s):  
Yu Zang ◽  
Wei Shangguan ◽  
Baigen Cai ◽  
Huasheng Wang ◽  
Michael. G. Pecht
Keyword(s):  
Life Prediction ◽  
Prediction Method ◽  
Remaining Useful Life ◽  
Useful Life

Remaining useful life prediction method for machine tools based on meta-action theory

2021 ◽  
pp. 1748006X2110025
Author(s):  
Zongyi Mu ◽  
Yan Ran ◽  
Genbao Zhang ◽  
Hongwei Wang ◽  
Xin Yang
Keyword(s):  
Machine Tools ◽  
Life Prediction ◽  
Action Theory ◽  
Prediction Method ◽  
Operational Reliability ◽  
Remaining Useful Life ◽  
Practical Application ◽  
Dynamic Prediction ◽  
Degradation Model ◽  
Useful Life

Remaining useful life (RUL) is a crucial indictor to measure the performance degradation of machine tools. It directly affects the accuracy of maintenance decision-making, thus affecting operational reliability of machine tools. Currently, most RUL prediction methods are for the parts. However, due to the interaction among the parts, even RUL of all the parts cannot reflect the real RUL of the whole machine. Therefore, an RUL prediction method for the whole machine is needed. To predict RUL of the whole machine, this paper proposes an RUL prediction method with dynamic prediction objects based on meta-action theory. Firstly, machine tools are decomposed into the meta-action unit chains (MUCs) to obtain suitable prediction objects. Secondly, the machining precision unqualified rate (MPUR) control chart is used to conduct an out of control early warning for machine tools’ performance. At last, the Markov model is introduced to determine the prediction objects in next prediction and the Wiener degradation model is established to predict RUL of machine tools. According to the practical application, feasibility and effectiveness of the method is proved.

scholarly journals A Remaining Useful Life Prediction Method Considering the Dimension Optimization and the Iterative Speed

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 180383-180394 ◽  
Author(s):  
Yiming Li ◽  
Xiangmin Meng ◽  
Zhongchao Zhang ◽  
Guiqiu Song
Keyword(s):  
Life Prediction ◽  
Prediction Method ◽  
Remaining Useful Life ◽  
Useful Life

scholarly journals Remaining Useful Life Prediction for Complex Systems With Multiple Indicators Based on Particle Filter and Parameter Correlation

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 215145-215156
Author(s):  
Shaowei Chen ◽  
Meinan Wang ◽  
Dengshan Huang ◽  
Pengfei Wen ◽  
Shengyue Wang ◽  
...  
Keyword(s):  
Complex Systems ◽  
Particle Filter ◽  
Life Prediction ◽  
Remaining Useful Life ◽  
Multiple Indicators ◽  
Parameter Correlation ◽  
Useful Life
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