Rotor broken bar detection and diagnosis in induction motors using stator current signature analysis and fuzzy logic

This paper presents a study and the practical implementation of a system for the detection and diagnosis of broken rotor bars in electrical induction motors. Motor current signature analysis (MCSA) and fuzzy logic techniques are utilized in order to achieve that. Initially, a brief description of the MCSA is introduced. The causes of broken rotor bars are discussed and characterized with the equations that indicate the presence of components in the frequency spectrum. Subsequently, failure diagnosis techniques based on fuzzy logic are presented and discussed. Afterwards, the results of the practical implementation of failure detection and diagnosis system are shown and commented. MATLAB 6.0, and more specifically the following toolboxes: DSP BlockSet, fuzzy logic and real-time workshop, are used as a development tool. The implemented and tested method showed efficiency as the practical results corresponded to the proposed methods. The results obtained present a great degree of reliability, which enables them to be used as a monitoring tool for similar motors.