Novel condition monitoring of induction motor bearings via motor current signature analysis - Publikacja - MOST Wiedzy

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Novel condition monitoring of induction motor bearings via motor current signature analysis

Abstrakt

The paper authors are researching the assessment of bearing conditions in induction motors. The methods developed by the authors are based on measurements and analysis of the motor supply current, which is particularly attractive in the absence of access to the engine. The article provides an overview of selected methods of induction motor bearings diagnostic based on Motor Current Signature Analysis (MCSA). However, there is no solution to date which credibility allows for industrial application. The main problem is the high ratio of disturbance components compared to the useful diagnostic components in the motor current. The author team has developed a methodology which enables introduction of various damage to bearings and also built a test stand enabling a wide range of engine tests with damaged bearings. This has provided the opportunity to compare the results of a large number of damaged bearings in a controlled manner, and also to compare different diagnostic methods. The article presents results of two new studies performed on this test stand, obtained on the basis of instantaneous power measurements and statistical method of signal analysis that have been improved by the authors. Preliminary studies confirm the advantages of these methods. The presented concept has the potential for industry implementation.

Informacje szczegółowe

Kategoria:
Aktywność konferencyjna
Typ:
publikacja w wydawnictwie zbiorowym recenzowanym (także w materiałach konferencyjnych)
Tytuł wydania:
First World Congress on Condition Monitoring 2017 strony 1 - 12
Język:
angielski
Rok wydania:
2017
Opis bibliograficzny:
Ciszewski T., Dzwonkowski A., Swędrowski L., Gelman L.: Novel condition monitoring of induction motor bearings via motor current signature analysis// First World Congress on Condition Monitoring 2017/ : , 2017, s.1-12
Bibliografia: test
  1. Wei Zhou; otwiera się w nowej karcie
  2. T G Habetler, R G Harley, ' Incipient Bearing Fault Detection via Stator Current Noise Cancellation Using Wiener Filter', IEEE International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives, Cracow 2007, pp. 11-16.
  3. L Frosini, E Bassi, C Gazzaniga, 'Effect of the bearings faults on the efficiency of the induction motors', IECON 2008. 34th Annual Conference of IEEE Industrial Electronics, 2008. 10-13 Nov. 2008, pp. 1167-1172. otwiera się w nowej karcie
  4. J Zarei, J Poshtan, 'An advanced Park's vectors approach for bearing fault detection', Tribology International, Volume 42, Issue 2, Feb. 2009, pp. 213-219. otwiera się w nowej karcie
  5. A Ibrahim, M El Badaoui, F Guillet, F Bonnardot, 'A new bearing fault detection method in induction machines based on instantaneous power factor', IEEE Transactions on Industrial Electronics. Volume 55, Issue 12, Dec. 2008, pp. 4252- 4259. otwiera się w nowej karcie
  6. A Dzwonkowski, L Swędrowski, ' Bearing fault diagnosis in induction motors by instantaneous power analysis', Conference proceedings. The Seventh International Conference on Condition Monitoring and Machinery Failure Prevention Technologies CM 2010. The British Institute of Non-Destructive Testing, pp.1-12. otwiera się w nowej karcie
  7. A Dzwonkowski, L Swędrowski, J Rusek, 'The instantaneous power as a diagnostic symptom of the bearing damage', The Fifth International Conference on Condition Monitoring and Machinery Failure Prevention Technologies CM 2008/MFPT 2008, Heriot-Watt University, Edinburgh, Scotland, UK, 15-18 July 2008, pp. 361-371. otwiera się w nowej karcie
  8. A Dzwonkowski, L Swędrowski, 'Uncertainty analysis of measuring system for instantaneous power research', Metrology and Measurement Systems, Vol. XIX (2012), No. 3, pp. 573-582, Index 330930, ISSN 0860-8229. otwiera się w nowej karcie
  9. T Ciszewski, L Gelman, L Swędrowski, 'Current-based higher-order spectral covariance as a bearing diagnostic feature for induction motors', Insight -Non- Destructive Testing and Condition Monitoring, August 2016, vol. 58, no. 8, pp. 431-434. otwiera się w nowej karcie
  10. L Gelman, 'The New Second and Higher Order Spectral Technique for Damage Monitoring of Structures and Machinery', International Journal of Prognostics and Health Management, Vol 5 (2) 007, pp 6, 2014. otwiera się w nowej karcie
  11. L Swędrowski, J Rusek, 'Model and Simulation Tests of a Squirrel -Cage Induction Motor with Oscillation of the Air Gap', Proc. SDEMPED 2005 - International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives, Vienna, Austria, September 2005, pp 1-5. otwiera się w nowej karcie
Weryfikacja:
Politechnika Gdańska

wyświetlono 36 razy

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