Real time remaining useful life prediction based on nonlinear Wiener based degradation processes with measurement errors

2014 ◽  
Vol 21 (12) ◽  
pp. 4509-4517 ◽  
Author(s):  
Sheng-jin Tang ◽  
Xiao-song Guo ◽  
Chuan-qiang Yu ◽  
Zhi-jie Zhou ◽  
Zhao-fa Zhou ◽  
...  
Keyword(s):  
Real Time ◽  
Measurement Errors ◽  
Life Prediction ◽  
Remaining Useful Life ◽  
Degradation Processes ◽  
Useful Life

Real-time Prediction of Remaining Useful Life and Preventive Maintenance Strategy Based on Digital Twin

2020 ◽  
pp. 1-48
Author(s):  
Jinyan Guo ◽  
Zhaojun Yang ◽  
Chuanhai Chen ◽  
Wei Luo ◽  
Wei Hu
Keyword(s):  
Real Time ◽  
Preventive Maintenance ◽  
Measurement Errors ◽  
Prediction Method ◽  
Production Quality ◽  
Remaining Useful Life ◽  
Digital Twin ◽  
Time Prediction ◽  
Functional Part ◽  
Useful Life

Abstract The functional parts of a machine tool determine its reliability level to a great extent. The failure prediction of the functional part is helpful to prepare the maintenance scheme in time, in order to ensure a stable manufacturing process and the required production quality. Due to the rise of digital twin (DT), which has the characteristics of virtual reality interaction and real-time mapping, a DT-based real-time prediction method of the remaining useful life (RUL) and preventive maintenance scheme is proposed in this study. In this method, a DT model of the manufacturing workshop is established based on real-time perceptual information obtained by the proposed acquisition method. Subsequently, the real-time RUL of the functional part is predicted by establishing a RUL prediction model based on the nonlinear-drifted Brownian motion, which takes the working conditions and measurement errors into consideration. On this basis, the optimal preventive maintenance scheme can be determined and fed back to the manufacturing workshop, in order to guide the maintenance of relevant parts. Finally, an example case study is presented to illustrate the feasibility and effectiveness of the proposed method.

Remaining Useful Life Prediction for Degradation Processes With Long-Range Dependence

2017 ◽  
Vol 66 (4) ◽  
pp. 1368-1379 ◽  
Author(s):  
Hanwen Zhang ◽  
Maoyin Chen ◽  
Xiaopeng Xi ◽  
Donghua Zhou
Keyword(s):  
Long Range ◽  
Life Prediction ◽  
Remaining Useful Life ◽  
Long Range Dependence ◽  
Degradation Processes ◽  
Useful Life

Remaining useful life prediction for fractional degradation processes under varying modes

2019 ◽  
Vol 98 (6) ◽  
pp. 1351-1364 ◽  
Author(s):  
Xiaopeng Xi ◽  
Donghua Zhou ◽  
Maoyin Chen ◽  
Narayanaswamy Balakrishnan
Keyword(s):  
Life Prediction ◽  
Remaining Useful Life ◽  
Degradation Processes ◽  
Useful Life
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