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This paper proposes a novel and simple method for diagnosing insulation failure (short-circuit) in stator windings of motors under load conditions. The method involves probabilistic process for gauging the probability of failure occurrence by considering distributions of features, i.e. magnitude and phase of current flowing into stator windings, depending on the condition of the insulation failure...
Insulation failure of motor windings is one of faults that are likely to occur during the lifetime of motors. The authors have proposed a novel and simple method to diagnose insulation failure in a stator winding in terms of “fault probability”, which is calculated on the basis of feature distributions of magnitude and phase of current flowing into windings. Validity of the method was confirmed under...
Short circuit of a stator winding is one of the most probable faults of induction motors, resulting in huge economical loss by stopping of production lines in industrial plants and factories. Establishment of an easy and effective fault diagnosis method has been strongly required to assure motors for operation with high reliability. This paper reports the results of analysis of current waveforms of...
Short circuit of a stator winding is one of the most probable faults of induction motors. Once the fault occurs, the current waveform flowing in the winding will be distorted from sinusoidal depending on the degree of short circuit fault. In a series of experiments using induction motors with artificially introduced short circuit fault in stator windings, current waveforms were recorded and analyzed...
This paper proposes a new method for fault diagnosis of induction motors based on Hidden Markov Model, which is widely used in the field of speech recognition. In order to carry out pattern recognition, current waveforms running in stator winding are analyzed for motors with short circuit fault in stator windings or with broken rotor bars. Frequency spectrum of current are also investigated. The usefulness...
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