Reducing unscheduled plant maintenance delays-field test of a new method to predict electric motor failure
| Autor: | G.T. Homce, J.R. Thalimer |
|---|---|
| Rok vydání: | 1996 |
| Předmět: |
Electric motor
Engineering business.industry Condition monitoring Maintenance engineering Industrial and Manufacturing Engineering Predictive maintenance Field (computer science) Reliability engineering Automatic test equipment Experimental system Control and Systems Engineering Coal preparation plant Electrical and Electronic Engineering business |
| Zdroj: | IEEE Transactions on Industry Applications. 32:689-694 |
| ISSN: | 0093-9994 |
| DOI: | 10.1109/28.502182 |
| Popis: | Most electric motor predictive maintenance methods have drawbacks that limit their effectiveness in the mining environment. The US Bureau of Mines (USBM) is developing an alternative approach to detect winding insulation breakdown in advance of complete motor failure. In order to evaluate the analysis algorithms necessary for this approach, the USBM has designed and installed a system to monitor 120 electric motors in a coal preparation plant. The computer-based experimental system continuously gathers, stores, and analyzes electrical parameters for each motor. The results are then correlated to data from conventional motor maintenance methods and in-service failures to determine if the analysis algorithms can detect signs of insulation deterioration and impending failure. This paper explains the online testing approach used in this research, and describes monitoring system design and implementation. At this writing, data analysis is underway, but conclusive results are not yet available. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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