ANALYSIS OF DEFECTS IN MTA2 TYPE ASYNCHRONOUS TRACTION MOTORS FOR ELECTRIC LOCOMOTIVES
DOI:
https://doi.org/10.36801/j0fppw09Keywords:
Asynchronous traction motors, Faults, LocomotivesAbstract
This paper presents the results of a study conducted to identify defects in MTA2 traction electric motors designed and manufactured by Softronic for LEMA 6000 kW electric locomotives.
Asynchronous traction electric motors ensure reliable operation and maintenance under the conditions specified by the designer. However, a number of stress factors cause degradation and aging, which require careful analysis of failure modes and causes, and of measures to reduce the frequency and consequences of potential defects. The operating history of these motors in traction service enables analysis of relevant operational data and of the manufacturing, assembly, and operational stages. The study addresses the proposed issue using Failure Tree Analysis (FTA) and Failure Modes and Effects Analysis (FMEA), and considers the possible defects, how they occur, their causes, detection, and measures to increase reliability and availability.
References
(1) B. Abhilash B. T., Manjunatha H.M., Ranjan N. A., Tejamoorthy M. E., Reliability Assessment of Induction Motor Drive using Failure Mode Effects Analysis, IOSR Journal of Electrical and Electronics Engineering (IOSR-JEEE), Volume 6, Issue 6 (Jul. - Aug. 2013)
(2) ***ANSI/ABMA 9 Load ratings and Fatigue Life for Ball Bearings, Washington, DC ABMA
(3) A. T. Siddique, G. S. Yadava, and B. Singh, A Review of Stator Fault Monitoring Techniques of Induction Motors, IEEE Transactions on Energy Conversion, Vol. 20, NO. 1, March 2005
(4) A.H. Bonnett, Root Cause Failure Analysis for AC Induction Motors in the Petroleum and Chemical Industry, IEEE Paper No. PCIC-2010-43
(5) B. P. S., Pradhan S., Prakash M., Fault Diagnostic and Monitoring Methods of Induction Motor: A Review, International Journal of Applied Control, Electrical and Electronics Engineering (IJACEEE) Volume 1, Number 1, May 2013
(6) A. H. Bonnett, Root Cause AC Motor Failure Analysis with a Focus on Shaft Failures, IEEE Transactions on Industry Applications, Vol. 36, NO. 5, Sept/Oct 2000
(7) M. B. House, C. Park, G. L. Flickinger, C. T. Fritz, H. S. Sutherland, T. P. Repoff, Method and System for Determining Motor Reliability, US Patent Application Publication, US 2004/0044499 A1
(8) ***IEC 60812 Failure modes and effects analysis (FMEA and FMECA)
(9) ***IEC 61025 Failure Tree Analysis
(10) ***IEC 61078 Reliability Block Diagrams
(11) ***IEEE 1415-2006 Guide for Induction Machinery MaintenanceTesting for Failure Analysis
(12) ***IEEE Std 1566-2015 Std for Performance of Adjustable Speed AC Drives Rated 375 kW and Larger
(13) Ed. R. Igmar, Recalde Gregor, Induction Motors Applications, Control and Fault Diagnostics, AvE4EvA 2015
(14) S. Karmakar, S. Chattopadhyay, S. Mitra, M. Sengupta, Induction Motor Fault Diagnosis: Approach through Current Signature Analysis, Springer 2016
(15) R. Lawrence, R. Hanna, B. Lockley, R. Paes, IEEE Std 1566-2015 Performance of adjustable speed ac drives rated 375 kw and larger, IEEE Paper No. PCIC-2016-03, 2016
(16) ***MIL-STD-1629A, MIL-STD-1629A Notice 1, MIL-STD-1629A Notice 2 – Procedures for Performing a Failure Mode, Effects and Criticality Analysis, 1980/1983/1984
(17) G. C. Montanari, S. Luciano, Aging Phenomenology and Modeling, IEEE Transactions on Electrical Insulation, Vol. 28, No. 5, October 1993
(18) ***Root Cause Failure Analysis, Electrical Apparatus Service Association, Inc.2004
(19) ***Softronic, Specificație tehnică motor MTA, 2008
(20) T. O. Vaag, D. Magnus, A Survey of Faults on Induction Motors in Offshore Oil Industry, Petrochemical Industry, Gas Terminals and Oil Refineries, IEEE Paper No. PCIC-94-01, 1994
(21) P. Waide, C. U. Brunner, Energy-Efficiency Policy Opportunities for Electric Motor-Driven Systems, International Energy Agency, 2011
(22) F. Wang, Z. Zhang, X. Mei, J. Rodríguez, R. Kennel, Advanced Control Strategies of Induction Machine: Field Oriented Control, Direct Torque Control and Model Predictive Control, Energies 2018, 11, 120
(23) M. Wlaran., M. Subudhi, Aging Assessment of Large Electric Motors in Nuclear Power Plants, Brookhaven National Laboratory, 1996
Downloads
Published
Issue
Section
License
Copyright (c) 2026 ELECTRICAL MACHINES, MATERIALS AND DRIVES — PRESENT AND TRENDS

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.