Self-organizing map approach for classification of mechanical and rotor faults on induction motors

Neural Computing and Applications

Volumn 23, Issue 1, 2013, Pages 41-51

  Bossio, José M ^a   De Angelo, Cristian H ^a   Bossio, Guillermo R ^a  

^a DEPARTAMENTO DE QUÍMICA   (Argentina)

Author keywords

Fault diagnosis; Induction motors; Neural networks; Self organizing maps

Indexed keywords

BROKEN ROTOR BAR; CHARACTERISTIC FREQUENCIES; EXPERIMENTAL DATUM; FAULT DIAGNOSIS AND IDENTIFICATION; FAULT IDENTIFICATIONS; INSTANTANEOUS POWER; NETWORK-BASED; SHAFT MISALIGNMENT;

ALIGNMENT; CONFORMAL MAPPING; FAILURE ANALYSIS; INDUCTION MOTORS; NEURAL NETWORKS; ROTORS (WINDINGS); SELF ORGANIZING MAPS;

COMPUTER SIMULATION;

EID: 84879840426     PISSN: 09410643     EISSN: None     Source Type: Journal    
DOI: 10.1007/s00521-012-1255-0     Document Type: Article

References (21)

1. Bellini A, Filippetti F, Tassoni C, Capolino GA (2008) Advances in diagnostic techniques for induction machines. IEEE Trans Ind Electron 55: 4109-4126.
2. Filippetti F, Franceschini G, Tassoni C, Vas P (2000) Recent developments of induction motor drives fault diagnosis using AI techniques. IEEE Trans Ind Electron 47(5): 994-1004.
3. Penman J, Yin CM (1994) Feasibility of using unsupervised learning, artificial neural networks for the condition monitoring of electrical machines. IEE Proc Electr Power Appl 141(6): 317-322.
4. Zhong F, Shi T, He T (2005) Fault diagnosis of motor bearing using self-organizing maps. Electr Mach Syst ICEMS 3: 2411-2414.
5. Salles G, Filippetti F, Tassoni C, Grellet G, Franceschini G (2002) Monitoring of induction motor load by neural network techniques. IEEE Trans Power Electron 15(4): 762-768.
6. Bossio JM, De Angelo CH, Bossio GR, García G (2010) Fault diagnosis on induction motors using self-organizing maps. In: The 9th international conference of the IEEE/IAS industry applications.
7. Germen E, Gökhan ED, Gerek ÖN (2007) Self organizing map (SOM) approach for classification of mechanical faults in induction motors, In: International work-conference on artificial neural networks, LNCS 4507, Springer, pp 855-861.
8. Kowalski CT, Orlowska-Kowalska T (2003) Neural networks application for induction motor faults diagnosis. Math Comput Simul 63(3-5): 435-448.
9. Kato T, Inoue K, Takahashi T, Kono Y (2007) Automatic fault diagnosis method of electrical machinery and apparatus by using Kohonen's self-organizing map. In: Power conversion conference, pp 1224-1229.
10. Sid O, Menaa M, Hamdani S, Touhami O, Ibtiouen R (2011) Self-organizing map approach for classification of electricals rotor faults in induction motors. In: EPECS, pp 1-6.
11. Bossio G, De Angelo C, Bossio JM, Pezzani C (2009), Separating broken rotor bars and load oscillations on IM fault diagnosis through the instantaneous active and reactive currents. IEEE Trans Ind Electron, 56: 4571-4580. ISSN: 0278-0046.
12. Kohonen T (2001) Self organizing maps, 3rd edn. Springer, Berlin.
13. Vesanto J, Himberg J, Alhoniemi E, Parhankangas J (2000) SOM toolbox for Matlab.
14. Long W, Habetler TG, Harley RG (2005) Separating load torque oscillation and rotor fault effects in stator current-based motor condition monitoring. In: IEEE international conference on electric machines and drives, pp 1889-1894.
15. Wu L, Habetler, TG, Harley RG (2007) A review of separating mechanical load effects from rotor faults detection in induction motors. In: IEEE international symposium on diagnostics for electric machines, power electronics and drives, pp 221-225.
16. De Angelo C, Bossio G, Garcia G (2010) Discriminating broken rotor bar from oscillating load effects using the instantaneous active and reactive powers. Electr Power Appl 4: 281-290. ISSN: 1751-8660.
17. Krause PC, Wasynczuk O, Sudhoff SD (1996) Analysis of electric machinery. IEEE Press, New York, pp 133-210.
18. Bossio JM, Bossio GR, De Angelo CH (2009) Angular misalignment in induction motors with flexible coupling. In: The 35th annual conference of the IEEE Industrial Electronics Society.
19. Bellini A, Filippetti F, Franceschini G, Tassoni C, Kliman GB (2001) Quantitative evaluation of induction motor broken bars by means of electrical signature analysis. IEEE Trans Ind Appl 37(5): 1248-1255.
20. Verucchi CJ, Acosta GG, Carusso E (2005) Influence of the motor load inertia and torque in the fault diagnosis of rotors in induction machines. IEEE Lat Am Trans 3(4): 48-53.
21. De Angelo C, Bossio G, Bossio JM, Garcia G (2008) Broken bar detection in single-phase reciprocating compressors. In: The 34th annual conference of the IEEE Industrial Electronics Society, pp 1125-1130.