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It is documented that almost 98% of all voltage generated by electric utilities has up to 3% unbalance. Single phasing fault deserves special attention since phase loss is considered the worst case of unbalanced supply voltage. This paper focuses on unbalanced supply condition diagnosis and discrimination between an unbalance in the supply and phase loss fault. The discrimination will be based on...
Recently, Permanent Magnet Synchronous Motors (PMSM) is one of the most attractive electric machine in industrial applications, therefor must be protected against electrical and mechanical failures for continue their operation safely. However, different kinds of faults are unavoidable in motors during their operational service. Unbalancing in the supply voltage is common in grid supply. However, the...
Permanent magnet synchronous motor (PMSM) is currently the most attractive application electric machine for several industrial applications. It has obtained widespread application in motor drives in recent time. However, different types of faults are unavoidable in such motors. This paper focuses on stator winding faults diagnosis. This paper proposes the ratio of third harmonic to fundamental FFT...
This paper develop a novel, non-intrusive approach for fault-detection and diagnosis scheme of bearing faults for three-phase induction motor using stator current signals with particular interest in identifying the outer-race defect at an early stage. The most common bearing problem is the outer race defect in the load zone. The empirical mode decomposition (EMD) technique is proposed for analysis...
A method for fault detection and diagnosis of stator inter-turn short circuits and unbalanced supply voltages for three phase induction machines is presented. The method is based on the analysis of the ratio of third harmonic to fundamental FFT magnitude component of the three-phase stator line current and supply voltage to detect different insulation failure percentages at different load conditions...
Incipient fault detection of electrical machine is a challenging task and requires intelligent diagnostic approach. Huge research effort is put to automate the fault diagnostic schemes. Among several causes of electrical machine failure the most frequent occurring fault is the mechanical bearing failure. Thus this paper present on-line diagnostic technique for incipient bearing failure in an inverter...
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