Failure identification and degradation processes Aeronautics and aerospace Life and reliability evaluation of tuner by Constant-Stress Accelerated Degradation Testing method

2014 ◽  
pp. 873-878
Keyword(s):  
Reliability Evaluation ◽  
Constant Stress ◽  
Accelerated Degradation ◽  
Testing Method ◽  
Degradation Processes ◽  
Accelerated Degradation Testing ◽  
Degradation Testing ◽  
Failure Identification

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.

STATISTICAL ANALYSIS OF CONSTANT-STRESS ACCELERATED DEGRADATION TESTING WITH MULTIPLE PERFORMANCE PARAMETERS

2016 ◽  
Vol 40 (4) ◽  
pp. 631-644 ◽  
Author(s):  
Fu-Qiang Sun ◽  
Xiao-Yang Li ◽  
Tong-Min Jiang
Keyword(s):  
Statistical Analysis ◽  
Principal Component ◽  
Degradation Process ◽  
Constant Stress ◽  
Support Vector ◽  
Performance Parameters ◽  
Accelerated Degradation ◽  
Statistical Analysis Method ◽  
Accelerated Degradation Testing ◽  
Degradation Testing

For the long-life and highly-reliable product, accelerated degradation testing (ADT) method is an effective approach for evaluating life and reliability. However, most of previous researches have been focusing on the ADT method based on single performance parameter. The statistical analysis method of constant-stress ADT (CSADT) with multiple performance parameters based on Principal Component Analysis (PCA) and Support Vector Machine (SVM) is proposed in this paper. PCA is utilized to process the CSADT data in order to reduce the dimension of performance parameters. Then, SVM is applying in modelling the degradation process of the principal components. The engineering example proves that the method is feasible and efficient.

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