Title :
Stator fault diagnosis in induction motors using power decomposition
Author :
Arkan, M. ; Unsworth, P.J.
Author_Institution :
Sch. of Eng., Sussex Univ., Brighton, UK
Abstract :
A power decomposition technique (PDT) has been used to derive positive and negative sequence components of arbitrary three phase signals in the time domain, in order to detect deterioration in the stator of induction motors. Negative sequence currents arising from supply unbalance are calculated using the reactive component of motor negative sequence impedance, which is essentially independent of temperature. The effects of variation in load, supply voltage, and supply voltage unbalance, have been eliminated by using a recursive least squares method to characterize the associated variation in motor reactance and residual negative sequence current in the healthy motor. Compensation is also applied for nonsimultaneous current sampling of motor fault current. Negative sequence fault currents as low as 0.1 percent of full load current can be detected in the presence of normal variations in load, voltage, and unbalance
Keywords :
fault diagnosis; induction motors; least squares approximations; machine testing; machine theory; recursive estimation; stators; induction motors; motor fault current; motor reactance; negative sequence components; negative sequence impedance; positive sequence components; power decomposition technique; recursive least squares method; residual negative sequence current; stator fault diagnosis; supply unbalance; Current supplies; Fault currents; Fault diagnosis; Impedance; Induction motors; Least squares methods; Phase detection; Stators; Temperature; Voltage;
Conference_Titel :
Industry Applications Conference, 1999. Thirty-Fourth IAS Annual Meeting. Conference Record of the 1999 IEEE
Conference_Location :
Phoenix, AZ
Print_ISBN :
0-7803-5589-X
DOI :
10.1109/IAS.1999.805999