Design of Motor Current Signature Analysis (MCSA) Based on LabVIEW for Online Detection of Induction Motor Faults

Penulis

  • Dimas Anton Asfani Institut Teknologi Sepuluh Nopember; Center of Excellence for Automotive Control & System ITS
  • Soedibyo Soedibyo Institut Teknologi Sepuluh Nopember; Center of Excellence for Automotive Control & System ITS
  • I Made Yulistya Negara Institut Teknologi Sepuluh Nopember; Center of Excellence for Automotive Control & System ITS
  • Daniar Fahmi Institut Teknologi Sepuluh Nopember; Center of Excellence for Automotive Control & System ITS
  • Muhammad Eko Septiawan Institut Teknologi Sepuluh Nopember; Center of Excellence for Automotive Control & System ITS
  • Mochammad Wahyudi Institut Teknologi Sepuluh Nopember; Center of Excellence for Automotive Control & System ITS
  • Neisya Islamey Rifma Institut Teknologi Sepuluh Nopember; Center of Excellence for Automotive Control & System ITS

DOI:

https://doi.org/10.12962/j25796216.v1.i2.20

Abstrak

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.

Biografi Penulis

Dimas Anton Asfani, Institut Teknologi Sepuluh Nopember; Center of Excellence for Automotive Control & System ITS

Department of Electrical Engineering

Soedibyo Soedibyo, Institut Teknologi Sepuluh Nopember; Center of Excellence for Automotive Control & System ITS

Department of Electrical Engineering

I Made Yulistya Negara, Institut Teknologi Sepuluh Nopember; Center of Excellence for Automotive Control & System ITS

Department of Electrical Engineering

Daniar Fahmi, Institut Teknologi Sepuluh Nopember; Center of Excellence for Automotive Control & System ITS

Department of Electrical Engineering

Muhammad Eko Septiawan, Institut Teknologi Sepuluh Nopember; Center of Excellence for Automotive Control & System ITS

Department of Electrical Engineering

Mochammad Wahyudi, Institut Teknologi Sepuluh Nopember; Center of Excellence for Automotive Control & System ITS

Department of Electrical Engineering

Neisya Islamey Rifma, Institut Teknologi Sepuluh Nopember; Center of Excellence for Automotive Control & System ITS

Department of Electrical Engineering

Referensi

M.J. Castelli, J.P. Fossati, M.T. Andrade “New Methodology to Faults Detection in Induction Motor ia MCSAâ€, IEEE/PES Transmission and Distribution Conference and Exposition : Latin America, 2008

S. Grubic, J. M. Aller, and T. G. Habetler, “A Survey on Testing and Monitoring Methods for Stator Insulation Systems of Low-Voltage Induction Machines Focusing on Turn Insulation Problemsâ€, IEEE Transactions on Dielectrics and Electrical Insulation, vol. 55, no. 12, Dec. 2008.

Jee-Hoon Jung, Jong-Jae Lee, Bong-Hwan Kwon “Online Diagnosis of Induction Motors Using MCSAâ€, 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 Reviewâ€, IEEE UP Section Conference on Electrical Computer and Electronics (UPCON), 2015

Mehala Neelam, Dahiya Ratna,â€Motor Current Signature Analysis and its Applications in Induction Motor Fault Diagnosisâ€, International Journal of System Applications, Engineering and Development, Volume 2 Issue 1, India, 2007.

Succliftom Tegar “Detection of Insulation Fault Phase-to-Phase on Induction Motor Using Surge Test (In Indonesian)â€, Electrical Engineering Department, Institut Teknologi Sepuluh Nopember, 2015.

##submission.downloads##

Diterbitkan

2017-10-02

Terbitan

Bagian

Articles(Jaree lama)