Development of Fault Progression Model for Utilization in Prognostic Techniques

Abstract

Machine reliable operation is of key importance especially when they are used for critical applications. In order to guarantee machine reliability and life estimation, ma- chine fault diagnosis and prognosis is of great importance. This work aims to develop an understanding towards machine fault diagnosis algorithms and to develop a fault pro- gression model that can be used for estimation of remaining machine useful life. Time frequency methods are used in analysing the transient machine faults. Further faults classi cation is done. In this work healthy machine and faulty machines data is ob- tained. On the data a non intrusive analysis is done to identify the electrical fault with the help of the eld oriented currents analysis in the permanent magnet synchronous motors.