Design of Motor Current Signature Analysis (MCSA) Based on LabVIEW for Online Detection of Induction Motor Faults
DOI:
https://doi.org/10.12962/j25796216.v1.i2.20Abstrak
Induction motor is the most common used electric motor in industry. Along with its operation, induction motor can savere certain damage which is generally dominated by internal fault, such as s rotor fault, stator fault, and bearing fault. In this paper, the online detection based on motor current signature analyses (MCSA) for such faults was designed using LabVIEW. MCSA was performed to obtain the frequency which indicated the presence of certain damage of induction motor. The experimental result showed that the accuracy of proposed method reached 90 %.
Keywords: induction motor; online detection; rotor fault; stator fault; bearing fault; MCSA.
Referensi
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Jee-Hoon Jung, Jong-Jae Lee, Bong-Hwan Kwon “Online Diagnosis of Induction Motors Using MCSA”, IEEE Transactions on Industrial Electronics, Vol. 53, No. 6, Desember 2006
Rangga Chilaka, Chandel Ashwani Kumar “Advanced Tool Based Condition Monitoring by Using LabVIEW A Review”, IEEE UP Section Conference on Electrical Computer and Electronics (UPCON), 2015
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Succliftom Tegar “Detection of Insulation Fault Phase-to-Phase on Induction Motor Using Surge Test (In Indonesian)”, Electrical Engineering Department, Institut Teknologi Sepuluh Nopember, 2015.
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