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A generic framework for estimating the reliability of equipment is through “information fusion” of its failure history, predictive maintenance data and domain expert's knowledge is proposed and demonstrated. The framework uses “Degree of Certainty” arrived at using fuzzy sets and “Belief” & “Plausibility” measures to arrive at a decision on the effectiveness of predictive maintenance. Uncertainty,...
Equipment Health Monitoring through Predictive Maintenance (PDM) data is proposed and the same is demonstrated with case study. Steel Rolling Mill Gearbox is considered for the purpose. Empirical failure rate model using Equipment Health Index (EHI) is proposed and used it for forecasting maintenance requirements of the process equipment. The strength of the proposed approach lies in integrating multiple...
Process plants like integrated steel plants use thousands of electric motors as prime movers of process equipment. The reliability of motors, especially large motors in the range of several hundreds of kilowatt capacity is vital as breakdown of these motors leads to breakdown of major facilities which these drive and cause large production losses. The maintenance of these large motors is often planned...
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