Reliability modelling and assessment of electric motor driven systems in hydrocarbon industries

Fahad S. Al Badawi; Mohammad AlMuhaini

Reliability modelling and assessment of electric motor driven systems in hydrocarbon industries

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Author(s): Fahad S. Al Badawi ¹ and Mohammad AlMuhaini ²
- Affiliations: 1: Terminal Operation Department, Saudi Aramco, Dhahran, Saudi Arabia ;
  2: Electrical Engineering Department, King Fahd University of Petroleum and Minerals, Dhahran, Saudi Arabia
Source: Volume 9, Issue 9, November 2015, p. 605 – 611
DOI: 10.1049/iet-epa.2015.0089 , Print ISSN 1751-8660, Online ISSN 1751-8679

Received 11/03/2015, Accepted 28/07/2015, Revised 16/07/2015, Published 01/11/2015

Reliability is a significant performance index for any electrical equipment in the industry, especially for electric motor driven (EMD) systems. Modelling the reliability of an EMD system is a difficult and challenging task. However, based on field data, the dominant failure modes of some motor system parts can be used to develop a simple and credible reliability model. This study proposes a failure rate prediction model for an EMD system that is currently in use in hydrocarbon industries. In addition, a fault tree model was designed to identify the root causes of the failures and the failure mechanism of the most dominates failure modes in EMD systems. To accomplish the study's objectives, an existing failure databank of over 100 failures of EMD systems was collected and surveyed from the field. The historical information and failure rate models that were collected for the electric motors are investigated and used to model the prediction model of the EMD system. Three competing failure modes were found to dominate motor life: bearing failures, winding failures and shaft failures. A mathematical model for each of these failure modes with dominant variables is developed, and a risk failure model is established.

References

1. 1)
  - 13. ‘Lubrication Life Forecast and Test Procedure’, ‘New Departure Handbook’, P.P.-Im-3/64, Code Gl.
2. 2)
  - 10. Rausand, M., Høyland, A.: ‘System reliability theory: models, statistical methods, and applications’ (Hoboken, NJ: Wiley, 2005, 2nd edn.).
3. 3)
  - 1. Abhilash, B.T., Manjunatha, H.M., Ranjan, N.A., et al: ‘Reliability assessment of induction motor drive using failure mode effects analysis’, IOSR J. Electr. Electron. Eng. (IOSR-IEEE), 2013, 6, (6), pp. 32–36, E-ISSN: 2278-1676, P-Issn: 2320-3331.
4. 4)
  - 21. Bonnett, A.H.: ‘Root cause ac motor failure analysis with a focus on shaft failures’, IEEE Trans. Ind. Appl., 2000, 36, (5), pp. 1435–1448 (doi: 10.1109/28.871294).
5. 5)
  - 8. Wilson, D.S., Smith, R.: ‘Electric motor reliability model’. Final Technical Report, Radc-Tr-77-408, December 1977.
6. 6)
  - 6. Dowson, D., Higginson, G.R.: ‘Elasto-hydrodynamic lubrication’ (Pergamon Press Ltd., London, 1966), p. 36.
7. 7)
  - 3. IEEE Standard Reliability Data for Pumps and Drivers, Valve Actuators, And Valves, ANSI/IEEE Standard 500, 1984.
8. 8)
  - 17. Klug, R.D., Griggs, M.: ‘Reliability and availability of megawatt drive concepts’. Proc. Int. Conf. on Power System Technology, 2004, pp. 665–671.
9. 9)
  - 11. Wilson, D.S., Wilkinson, J.W.: ‘Reliability model for miniature blowers’, Radc-Tr-75-178, March 1975. (Ad A013735).
10. 10)
  - 20. IEEE Petro- Chemical Paper Pcic-94-01: ‘Failure Distribution Statistics’.
11. 11)
  - 7. Poon, S.Y.: ‘An experimental study of grease in elastohydrodynamic lubrication’, ASME Paper No. 72-LUB-B, 1972.
12. 12)
  - 5. Bazzi, A.M., Dominguez-Garcia, A., Krein, P.T.: ‘Markov reliability modeling for induction motor drives under field-oriented control’, IEEE Trans. Power Electron., 2012, 27, pp. 534–546.
13. 13)
  - 18. Christian, J.B.: ‘Lubricant variables influencing miniature bearing torque’, A. F. Materials Lab Report, Afml-Tr-76–135 (Ad B013912).
14. 14)
  - 19. Beebe, T.J.: ‘Insulation and temperature rise’, Mach. Des., 1972, pp. 9–10.
15. 15)
  - 12. Ristow, A., Begovíc, M., Pregelj, A., Rohatgi, A.: ‘Development of a methodology for improving photovoltaic inverter reliability’, IEEE Trans. Ind. Electron., 2008, 55, (7), pp. 2581–2592 (doi: 10.1109/TIE.2008.924017).
16. 16)
  - 12. Donner, G.L., Subler, W.L., Evon, S.T.: ‘A motor primer – part I’, ‘IEEE Trans. Ind. Appl.’, 2000, 36, (5), pp. 1455–1466 (doi: 10.1109/28.871296).
17. 17)
  - 14. Military Handbook Reliability Prediction of Electronics Equipment, Mil-Hdbk-217f, 1995.
18. 18)
  - 4. Bozzo, R., Fazio, V., Savio, S.: ‘Power electronics reliability and stochastic performances of innovative ac traction drives: a comparative analysis’. Proc. IEEE Bologna Power Tech Conf., 2003, p. 7.
19. 19)
  - 9. Ramakumar, R.: ‘Engineering reliability fundamentals and applications’ (Prentice-Hall, NJ, 1993).
20. 20)
  - 2. Shevchuk, V.P.: ‘Investigations of the operation reliability increase of the alternating current electric machines in diamond extractive industries’. Proc. Int. Scientific and Practical Conf. of Students, Post Graduates and Young Scientists: Modern Technique and Technologies, 2002, pp. 103–104.
21. 21)
  - 15. Grant, G., Kauppi, T.A., Lee Moses, G., et al: ‘Motor tests evaluate thermal endurance of class H insulation and silicone varnish’, AIEE Trans., Part 2, 1949, 68, pp. 1133–1138.

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Reliability modelling and assessment of electric motor driven systems in hydrocarbon industries

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