Improvement of a Hydrogenerator Prognostic Model by using Partial Discharge Measurement Analysis

##plugins.themes.bootstrap3.article.main##

##plugins.themes.bootstrap3.article.sidebar##

Mélanie Lévesque Normand Amyot Claude Hudon Mario Bélec Olivier Blancke

Abstract

Availability and performance of hydrogenerators are key features that have driven electrical utilities to implement monitoring and diagnostic methods in order to evolve to condition based maintenance (CBM). Ten years ago, Hydro-Quebec has implemented a home-built web-based
application, called MIDA, to cover most of its power plants. MIDA centralizes diagnostic data from several tools, aggregates all diagnostic results and calculates a health index for each hydrogenerators. Data from MIDA used in conjunction with PHM techniques can feed a prognostic model that will provide useful equipment information and lead to the implementation of predictive maintenance. The prognostic framework used for hydrogenerators is based on a failure mechanism and symptom analysis (FMSA) approach. For the stator, a major component of hydrogenerators, more than 100 failure mechanisms have been consigned in the form of causal trees or graphs. A large number of these failure mechanisms involve the presence of partial discharges (PD) before failure occurs. At Hydro-Quebec, PD measurements on hydrogenerators have been carried out over the past 30 years and a significant PD database is integrated in MIDA. The analysis of this huge amount of data is of paramount importance to understand the behavior and evolution of the discharge activity in order to build a robust prognostic approach using physics based as well as data driven models. To that end, this paper presents case studies that shed some light on key features related to the evolution of PD activity in hydrogenerators. The paper discusses how to use this data in the prognostic model to assess warning signs before failure occurs.

How to Cite

Lévesque, M., Amyot, N., Hudon, C., Bélec, M., & Blancke, O. (2017). Improvement of a Hydrogenerator Prognostic Model by using Partial Discharge Measurement Analysis. Annual Conference of the PHM Society, 9(1). https://doi.org/10.36001/phmconf.2017.v9i1.2476
Abstract 90 | PDF Downloads 92

##plugins.themes.bootstrap3.article.details##

Keywords

PHM

References
Hudon, C., Bélec, M., Nguyen N.D. (2009). Innovative web system for condition-based maintenance of generators. Proceedings of the IEEE Electrical Insulation Confrence (EIC), June, Montreal, pp. 234–245.
Amyot, N., Hudon, C., Lévesque, M., Bélec M., Brabant F., St-Louis C. (2014). Development of a hydrogenerator Prognosis Approach. Proceedings of CIGRE Colloquium, paper A1-202, Paris, France.
Amyot, N., Hudon, C,. Lévesque, M., Bélec M., Brabant F., Frenette, F.-X. (2013), 'A New Prognostic Approach for Hydro-generator Stator Windings', Annual Conference of the Prognostics and Health Management Society (New Orleans, USA).
Blancke, O., Tahan, A., Komljenovic, D. Amyot, N., Hudon, C., Lévesque, M. (2016). A hydrogenerator model-based failure detection framework to support asset management. Proceedings of the IEEE PHM conference, pp. 1-6.
Blancke, O., Tahan, A., Komljenovic, D. Amyot, N., Hudon, C., Lévesque, M. (2016). A hydrogenerator model-based failure detection framework to support asset management. Proceedings of the IEEE PHM conference, pp. 1-6.
International Electrotechnical Commission (IEC) (2012). Rotating electrical machines-Part 27-2: On-line partial discharge measurements on the stator winding insulation of rotating electrical machines. In IEC, IEC/TS 60034-27-2:2012(e), (p. 55).
Institute of Electrical and Electronics Engineers (IEEE) (2000). Guide to the Measurement of Partial Discharges in rotating Machinery. In IEEE, IEEE std 1434-2000, (p. 63).
Hudon, C., and Bélec, M. (2005). Partial Discharge Signal Interpretation for Generator Diagnostics. IEEE Transaction on Dielectrics and Electrical Insulation, vol 12, no. 2, pp. 297-319
Stone, G C., and Warren, V. (2006). Objective Methods to Interpret Partial Discharge Data on rotating Machine stator Windings. IEEE Transaction on Industry Applications, vol 42, no. 1, pp. 195-200
Millet, C., Nguyen, D.N, Lepine, L., Bélec, M., Deziel-Lessard, D., Guddemi, C., (2009). Case Study – High Ozone Concentration in Hydrogenerators. Proceedings of the IEEE Electrical Insulation Confrence (EIC), June, Montreal pp. 178–182.
Section
Technical Papers