Diagnostics and estimation of the residual resource of the electromechanical equipment working, under trying conditions on electric, parameters
About authors
- 1 — Saint Petersburg State Mining University
- 2 — Saint Petersburg State Mining University
- 3 — Saint Petersburg State Mining University
- 4 — Saint Petersburg State Mining University
- 5 — Saint Petersburg State Mining University
Abstract
The method of diagnostics and estimation of a residual resource of the electromechanical equipment, based on the analysis of electric parameters is offered. Block diagram’s of a diagnostic complex and the data processing program are presented. The way of application of artificial neural networks for data processing of diagnostics and an estimation of a residual resource is considered, and also levels of influence of damages on working capacity of the equipment are resulted.
References
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- Биргер И.А. Техническая диагностика. М.: Машиностроение, 1978.
- Современные методы неразрушающего контроля и диагностики технического состояния электроприводов горных машин / Ю.Л.Жуковский, А.А.Коржев, А.В.Кривенко, С.В.Бабурин // Горное оборудование и электромеханика. 2009. № 9.
- Таджибаев А.И. Автоматизированные системы распознавания состояний электроустановок. СПб: Энергоатомиздат, 2001.
- Pöyhönen S., Jover P., Hyötyniemi H. Independent component analysis of vibrations for fault diagnosis of an induction motor: International Conference on Circuits, Signals, and Systems (CSS 2003). Cancun, Mexico, 19-21 may 2003. Vol.1.
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