Determining the Optimal Time for Overhaul of Industrial Pumps Using Performance and Economic Analysis

سال انتشار: 1395
محل انتشار: چهارمین کنفرانس بین المللی مهندسی قابلیت اطمینان
کد COI اختصاصی: RELI04_090
زبان مقاله: انگلیسی
تعداد مشاهده: 473

نویسندگان

Islamic Azad University of South Tehran Branch, Tehran, Iran

چکیده

The pumps have undeniable role in industrial activities thus it can be mentioned industries have to use it as store system to save huge amount of energy for instance to pump water from lower reservoir to a higher one.[1] Even mostly due to high failure risks and its consequences, industries obliged to using reserved systems. The experiences show that around 60% of industrial equipment energy usage is from electro motors and more than 30% of total usage is for pumps. Studies in 60 & 70 decades in USA and Swedish universities show that Bath-tub curved model cannot be true for most of complicated equipment and merely 8% to 23% of failure mode follows it depend on system age and yield. Thus it was discussed that more preventive measures only will increase the costs and has no effect in decreasing emergent failure statistics. In most equipment pump maintenance has done in fixed intervals that lead to increasing repair costs or increasing pump energy usage that caused financial loss and increasing the pump breaking probabilities. Though in this research we study types of pump probabilistic failures and to choose effective method of condition monitoring (CM) included performances analysis and economic analysis for diagnoses , finding optimal time of industrial pumps overhauls or repair. Though required information gathered to be assured maximum distance between two failure mode and minimum number of it and also achieving unconditional cost of unplanned failures in production systems. So we’ve gathered sampling during 12 months for two pumps and results have analyzed in relations and optimal time for repairing has proved. For future researches it s proposed to working on results for financial or performance aspect in greater scale.

کلیدواژه ها

Predictive Maintenance, Condition Monitoring, Vibration Analysis, Performance Analysis, Potential Failure Curves

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