Title :
Life-prediction of accelerated life testing based on support vector machine
Author :
Yin, Pengcheng ; Wang, Chengdong
Author_Institution :
Sch. of Mechatron. Eng., Univ. of Electron. Sci. & Technol. of China, Chengdu, China
Abstract :
It is difficult for parametric methods to be used to analyze data from accelerated life testing when the type of life distributions is unknown. A practical model is proposed in this paper to predict the life of the items in accelerated life testing based on support vector machine. Simulation and experimental analysis show that, this approach has an advantage of high precision. The model can reflect the relationship between the stress levels, the reliability, and the life of the items each other. By using this model, a useful way to predict the life in accelerated life testing is presented in this paper.
Keywords :
data analysis; life testing; nonparametric statistics; production engineering computing; reliability; remaining life assessment; support vector machines; accelerated life testing; data analysis; item life prediction; life distribution; miniature motor; nonparameter model; reliability; stress level; support vector machine; Acceleration; Life estimation; Life testing; Mathematical model; Reliability; Stress; Support vector machines; accelerated life testing; life prediction; nonparameter model; support vector machine;
Conference_Titel :
Quality, Reliability, Risk, Maintenance, and Safety Engineering (ICQR2MSE), 2011 International Conference on
Conference_Location :
Xi´an
Print_ISBN :
978-1-4577-1229-6
DOI :
10.1109/ICQR2MSE.2011.5976613
