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
- Аврамчук В.С. Функциональный контроль и диагностика электротехнических и электромеханических систем и устройств по цифровым отсчетам мгновенных значений тока и напряжения / В.С.Аврамчук, Н.Л.Бацева / Томский политехнический университет. Томск, 2003.
- 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.
Similar articles
Processes of chemical deposit crystallization
2011 V. N. Brichkin, N. A. Novikov, A. A. Besedin, E. E. Gordyushenkov
Influence of improvement of quality of copper concentrates on efficiency of their processing
2011 A. Ya. Boduen, B. S. Ivanov, G. V. Konovalov
Sulphatization refinement of products from pyrometallurgical processing of technogenic waste containing platinum metals
2011 G. V. Petrov, V. N. Kovalev