Breakdown and Reliability Analysis in a Process Industry
Citation
Dibyojyoti Deka,Dr.Thuleswar Nath"Breakdown and Reliability Analysis in a Process Industry", International Journal of Engineering Trends and Technology (IJETT), V28(3),150-156 October 2015. ISSN:2231-5381. www.ijettjournal.org. published by seventh sense research group
Abstract
The complex nature of modern equipment and systems often lead to failures and as a consequence lead to increase in machine downtime0 thus affecting production. The failures of machineries cause disruptions in production resulting in a loss of availability of the system .This further increases the cost of maintenance. TPM has been proved as a successful tool for increasing the OEE of machineries by using simple effective techniques. Initially in this study Pareto analysis was used to figure out the major contributors towards downtime losses. RCA using the Why-Why technique was done so as to explain the reasons behind equipment breakdown. This helped in developing a PM schedule for the machines. Reliability is an important parameter for any piece of equipment. In this study Weibull statistics was used to measure the reliability of the system and also explain the CDF governing the rate of failure. The fitness of the model developed using weibull distribution was further verified using the KS test which is a “distance test”. The value of the shape parameter ? helped to understand the current state of the machine and justify the use of the PM schedule developed.
References
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Keywords
Downtime Losses, TPM, OEE, Pareto analysis, PM schedule,Weibull distribution, CDF, Distance test, K-S test.