Online fault detection and diagnosis algorithm based on probabilistic model for induction machines

This paper presents stochastic fault detection algorithm for induction motor systems. We measure the current of a healthy induction motor by means of a Hall sensor and then determine its probability distribution. We propose a recursive probability density estimation algorithm suitable for real-time experimental implementation due to its simplicity and low computational load. We apply our fault detection approach to three-phase induction motors and obtain real-time experimental results that demonstrate its reliability and practicability.