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

This study presents a method of life prediction for DC motor using time series modeling procedure based on DC motor accelerated degradation testing data. DC motor accelerated degradation data are treated as time series and stochastic process are utilized to describe the degradation process for life prediction. An accelerated degradation test is processed for DC motor until they failed and the accelerated degradation data are collected for life prediction. A comparison between the predicted lifetime and the real lifetime of DC motors is processed and the results show that the life prediction of DC motors using time series analysis is effective.

[1]  Tongmin Jiang,et al.  SLD constant-stress ADT data analysis based on time series method , 2009, 2009 8th International Conference on Reliability, Maintainability and Safety.

[2]  Mehrdad Nouri Khajavi,et al.  Machine Fault Diagnosis Using MLPs and RBF Neural Networks , 2011 .

[3]  Tongmin Jiang,et al.  CSADT life prediction based on DAD using time series method , 2011, 2011 Proceedings - Annual Reliability and Maintainability Symposium.