scholarly journals Life Prediction of DC Motor using Time Series Analysis based on Accelerated Degradation Testing

2013 ◽  
Vol 06 (24) ◽  
pp. 4553-4558 ◽  
Author(s):  
Li Wang ◽  
Zaiwen Liu ◽  
Hong Xue ◽  
Bo Wan
Keyword(s):  
Time Series ◽  
Time Series Analysis ◽  
Life Prediction ◽  
Dc Motor ◽  
Accelerated Degradation ◽  
Series Analysis ◽  
Accelerated Degradation Testing ◽  
Degradation Testing

Life Prediction of Constant-Stress Accelerated Degradation Testing Using Time Series Method and Grey Theory

2010 ◽  
Vol 118-120 ◽  
pp. 616-620 ◽  
Author(s):  
Li Wang ◽  
Xiao Yang Li ◽  
Tong Min Jiang ◽  
Ting Ting Huang
Keyword(s):  
Time Series ◽  
Life Prediction ◽  
Constant Stress ◽  
Grey Theory ◽  
Series Method ◽  
Traditional Methods ◽  
Accelerated Degradation ◽  
Accelerated Degradation Testing ◽  
Time Series Method ◽  
Degradation Testing

This paper proposes a new life prediction method using time series and grey theory to predict product life based on Constant-Stress Accelerated Degradation Testing (CSADT) data. CSADT degradation data is modeled using time series method and predicted using grey theory. A four electric stress levels CSADT of miniature bulb is conducted to verify the proposed method. A comparison among life prediction by the proposed method, traditional methods, and real life of miniature bulb is processed. The result shows that life prediction by the proposed method is more accurate than traditional methods.

Degradation Path Modeling Method Based on Time Series Analysis

2011 ◽  
Vol 121-126 ◽  
pp. 2205-2210
Author(s):  
Cheng Gao ◽  
Min Jiang ◽  
Jiao Ying Huang ◽  
Xiang Fen Wang
Keyword(s):  
Time Series ◽  
Time Series Analysis ◽  
Modeling Method ◽  
Path Model ◽  
Path Modeling ◽  
Accelerated Degradation ◽  
Series Analysis ◽  
Degradation Test ◽  
Accelerated Degradation Test ◽  
Sensitive Parameters

In accelerated degradation test, it is essential to establish a suitable degradation path model of the component. In order to predict the life accurately, it is critical to determine the sensitive parameters. A degradation path modeling method based on time series analysis was proposed in this paper. The sensitive parameters were determined by time series stationary test, and a time series ARIMA model was established for the degradation of sensitive parameters. Taking TL431 as an example, the accelerated degradation tests were carried out to investigate the degradation of its performance parameters, and a degradation path model was established for the parameters. The results indicate that the proposed method is feasible for accelerated degradation test.

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