Nonlinear Trend Analysis of Mill Fan System Vibrations for Predictive Maintenance and Diagnostics

• Autorzy: Hadjiski M. B. , Doukovska L. A. , Kojnov S. L.
• Języki publikacji: EN

Abstrakty

EN

Present paper considers nonlinear trend analysis for diagnostics and predictive maintenance. The subject is a device from Maritsa East 2 thermal power plant a mill fan. The choice of the given power plant is not occasional. This is the largest thermal power plant on the Balkan Peninsula. Mill fans are main part of the fuel preparation in the coal fired power plants. The possibility to predict eventual damages or wear out without switching off the device is significant for providing faultless and reliable work avoiding the losses caused by planned maintenance. This paper addresses the needs of the Maritsa East 2 Complex aiming to improve the ecological parameters of the electro energy production process.

Słowa kluczowe

EN

technical diagnosis; fault diagnosis; predictive maintenance; manufacturing execution system; MES; enterprise resource planning; ERP

• Wydawca: Polish Academy of Sciences, Committee of Electronics and Telecommunication
• Czasopismo: International Journal of Electronics and Telecommunications
• Rocznik: 2012
• Tom: Vol. 58, No. 4
• Strony: 351--356
• Opis fizyczny: Bibliogr. 25 poz., wykr.

Twórcy

autor

Hadjiski M. B.

• University of Chemical Technology and Metallurgy Sofia, Bulv. St. Kliment Ohridski 8, 1756 Sofia, Bulgaria

autor

Doukovska L. A.

• Institute of Information and Communication Technologies, Bulgarian Academy of Sciences, Acad. G. Bonchev Str., bl. 2, 1113 Sofia, Bulgaria

autor

Kojnov S. L.

• Institute of Information and Communication Technologies, Bulgarian Academy of Sciences, Acad. G. Bonchev Str., bl. 2, 1113 Sofia, Bulgaria

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