Low-cost embedded system for the IM fault detection using neural networks

This paper presents a realization of a low-cost, portable measurement system for induction motor fault diagnosis. The system is composed of a four-channel data acquisition recorder and laptop computer with specialized software. The diagnostic software takes advantage of the motor current signature analysis method (MCSA) for detection of rotor faults, voltage unbalance and mechanical misalignment. For diagnostics purposes the neural network technique is applied.