Title :
Low-cost embedded system for the IM fault detection using neural networks
Author :
Pawlak, M. ; Kowalski, C.T.
Author_Institution :
Inst. of Electr. Machines, Wroclaw Univ. of Technol., Wroclaw, Poland
Abstract :
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.
Keywords :
computerised monitoring; data acquisition; embedded systems; fault diagnosis; induction motors; neural nets; power engineering computing; data acquisition recorder; induction motor fault detection; laptop computer; low cost embedded system; mechanical misalignment; motor current signature analysis method; neural networks; portable measurement system; voltage unbalance; Artificial neural networks; Fault detection; Induction motors; Rotors; Software; Stator windings; artificial neural networks; diagnostic; induction motor; stator current spectral analysis;
Conference_Titel :
Electrical Machines (ICEM), 2010 XIX International Conference on
Conference_Location :
Rome
Print_ISBN :
978-1-4244-4174-7
Electronic_ISBN :
978-1-4244-4175-4
DOI :
10.1109/ICELMACH.2010.5607947
