Iranian Journal of Mechanical Engineering Transactions of ISME

Iranian Journal of Mechanical Engineering Transactions of ISME

Diagnosing Simultaneous Faults of Bearing and Misalignment in Induction Motor using Combined Method of Bispectrum Analysis of Vibration Signal and KNN Algorithm

Authors
Reza Dardmand 1
Mir Saeed Safizadeh 2
1 M.Sc. Student, School of Mechanical Engineering, Iran University of Science and Technology, Tehran, Iran
2 Associate Professor, School of Mechanical Engineering, Iran University of Science and Technology, Tehran, Iran
10.30506/ijmep.2020.116805.1652
Abstract
The monitoring system for induction motors (IMs) plays an important role in the majority of industrial plants. Bearing faults and shaft misalignment are common mechanical defects in induction motors. The aim of this paper is to detect simultaneously two common faults in induction motor including bearing defect and shaft misalignment. For this purpose, a test setup consisting of an induction motor coupled to a rotor shaft is designed and tested under different loading conditions and at different speeds. The diagnosis parameters of vibration signal are calculated by conventional signal processing methods as well as bispectrum analysis. Feature extraction and KNN classification techniques are applied to the calculated parameters to provide condition monitoring of the induction motor. The results show that the application of bispectrum analysis along with the conventional signal processing methods improves detecting bearing fault in induction motor and shaft misalignment in the case of single fault as well as multiple simultaneous faults.
Keywords
Fault diagnosis
Induction motors
Vibration analysis
Bearing defects
Misalignment
Bispectrum

Subjects

[1]        M. Demetgul and M. Ünal, Fault Diagnosis and Detection. InTech, 2017.
 
[2]        K. M. Siddiqui, K. Sahay, and V. K. Giri, “Health Monitoring and Fault Diagnosis in Induction Motor- A Review,” Int. J. Adv. Res. Electr. Electron. Instrum. Eng., Vol. 3, No. 1, pp. 2320–3765, 2014, Retrieved from http://www.ijareeie.com/volume-3-issue-1.
 
[3]        T. Ciszewski, L. Swędrowski, and L. Gelman, “Induction Motor Bearings Diagnostic Using MCSA and Normalized Tripple Covariance,” In Proceedings - SDEMPED 2015: IEEE 10th International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives, 2015, pp. 333–337, https://doi.org/10.1109/DEMPED.2015.7303711.
[4]        A. K. Verma, S. Sarangi, and M. H. Kolekar, “Misalignment Fault Detection in Induction Motor Using Rotor Shaft Vibration and Stator Current Signature Analysis,” Int. J. Mechatronics Manuf. Syst., Vol. 6, No. 5–6, pp. 422–436, 2013, https://doi.org/10.1504/IJMMS.2013.058519.
 
[5]        R. R. Schoen, T. G. Habetler, F. Kamran and R. G. Bartfield, “Motor Bearing Damage Detection Using Stator Current Monitoring,” In IEEE Transactions on Industry Applications, Vol. 31, No. 6, pp. 1274-1279, Nov.-Dec. 1995, https://doi.org/10.1109/28.475697.
 
[6]        M. Vishwakarma, R. Purohit, V. Harshlata, and P. Rajput, “Vibration Analysis & Condition Monitoring for Rotating Machines: A Review,” In Materials Today: Proceedings, 2017, Vol. 4, No. 2, pp. 2659–2664, https://doi.org/10.1016/j.matpr.2017.02.140.
 
[7]        N. Tandon and A. Choudhury, “A Review of Vibration and Acoustic Measurement Methods for the Detection of Defects in Rolling Element Bearings,” Tribol. Int., Vol. 32, No. 8, pp. 469–480, Aug. 1999, https://doi.org/10.1016/S0301-679X(99)00077-8.
 
[8]        M. Xu and R. D. Marangoni, “Vibration Analysis Of A Motor-flexible Coupling-rotor System Subject to Misalignment and Unbalance, Part II: Experimental Validation,” J. Sound Vib., Vol. 176, No. 5, pp. 681–691, Oct. 1994, https://doi.org/10.1006/jsvi.1994.1406.
 
[9]        D. F. A. Santiago and R. Pederiva, “Application of Wavelet Transform to Detect Faults in Rotating Machinery,” In ABCM Symposium Series in Mechatronics, 2004, Vol. 1, pp. 616–624, https://doi.org/10.7763/IJMLC.2012.V2.93.
 
[10]      J. K. Sinha and K. Elbhbah, “A Future Possibility of Vibration Based Condition Monitoring of Rotating Machines,” Mech. Syst. Signal Process., Vol. 34, No. 1–2, pp. 231–240, Jan. 2013, https://doi.org/10.1016/j.ymssp.2012.07.001.
 
[11]      K. Elbhbah and J. K. Sinha, “Fault Diagnosis in Rotating Machine Using Composite Bispectrum,” In Rasd International Conference, 2013, No. July, Retrieved from https://www.ocs.soton.ac.uk/index.php/rasdconference/RASD2013/paper/view/1036.
 
[12]      A. L. Gama, W. B. de Lima, and J. P. S. de Veneza, “Detection of Shaft Misalignment Using Piezoelectric Strain Sensors,” Exp. Tech., Vol. 41, No. 1, pp. 87–93, Jan. 2017, https://doi.org/10.1007/s40799-016-0158-x.
 
[13]      F. Dalvand, A. Kalantar, and M. S. Safizadeh, “A Novel Bearing Condition Monitoring Method in Induction Motors Based on Instantaneous Frequency of Motor Voltage,” IEEE Trans. Ind. Electron., Vol. 63, No. 1, pp. 364–376, Jan. 2016, https://doi.org/10.1109/TIE.2015.2464294.
 
[14]      B. Liang, S. D. Iwnicki, and Y. Zhao, “Application of Power Spectrum, Cepstrum, Higher Order Spectrum and Neural Network Analyses for Induction Motor Fault Diagnosis,” Mech. Syst. Signal Process., Vol. 39, No. 1–2, pp. 342–360, Aug. 2013, https://doi.org/10.1016/j.ymssp.2013.02.016.
 
[15]      C. S. P.Girdhar, Practical Machinery Vibration Analysis and Predictive Maintenance. 2016.
 
[16]      K. C. Chua, V. Chandran, U. R. Acharya, and C. M. Lim, “Application of Higher Order Statistics/Spectra in Biomedical Signals-A Review,” Medical Engineering and Physics, Vol. 32, No. 7. Elsevier, pp. 679–689, 01-Sep-2010, https://doi.org/10.1016/j.medengphy.2010.04.009.
 
[17]      J. Zarei, J. Pashtan, “A New Bearing Condition Monitoring Method in Induction Motors Using Park Transform,” In the 20th International Electricity Conference, 2005, No. Oct, Retrieved from https://civilica.com/doc/20357.

  • Receive Date 09 November 2019
  • Revise Date 29 April 2020
  • Accept Date 24 October 2020