Abstract
This paper presents the results of an investigation and analysis of the effects of broken squirrel-cage bars. In the investigation, a comprehensive time-stepping coupled finite element approach was fully used to compute stator current waveforms, torque, and magnetic flux density waveform. The harmonic component of air-gap flux density is analysed. From these data, the faulty signatures are extracted. The present method has been designed and implemented using Finite Elements Method depending on time stepping. The proposed method produces an efficient technique in terms of time and accuracy to detect the faults and effects on the operation of electric machine. The early detection of faults in electric machine gives enough time to decrease the probability of electric machine faults. The differences in motor torque waveform timing in each case associated with the stator current waveforms give the flux spreading in the suggested technique. The obtained results show fast fault detection and technique is founded to extract the induction motors faults.
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Khaleel, H.H., Ibrahim, A.A., Hammadi, K.J. (2023). Behavioural Investigation and Analysis of Flux and Torque in Faulty Electrical Machines Using Finite Element Techniques. In: Kumar, R., Pattnaik, P.K., R. S. Tavares, J.M. (eds) Next Generation of Internet of Things. Lecture Notes in Networks and Systems, vol 445. Springer, Singapore. https://doi.org/10.1007/978-981-19-1412-6_2
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