Leverage of Multiple Predictive Maintenance Technologies in Root Cause Failure Analysis of Critical Machineries

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Abstract

Globally, the process/manufacturing industries are undergoing through a traumatic phase of transition from buoyancy few years back, to the paroxysm of low off take, rising input price and an adverse business climate menacing their growth prospect. Maximizing asset productivity and ensuring that the associated processes are as efficient as possible are key aspects for organizations striving to gain their strong financial returns. Maintenance costs are one of the largest factors impacting a plant's budget. Attempts to reduce these costs have led to the development of several maintenance strategies. To achieve reliability of process/system, effective utilization of predictive maintenance has proven to be very effective and beneficial. Predictive maintenance can contribute a lot in improving the bottom line through eliminating unscheduled outages of machine/processes, optimizing the process parameters, improving reliability and productivity. This paper showcases the odyssey of successful implementation of various Predictive maintenance technologies adopted in critical plant assets.

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Behera, P. K., & Sahoo, B. S. (2016). Leverage of Multiple Predictive Maintenance Technologies in Root Cause Failure Analysis of Critical Machineries. In Procedia Engineering (Vol. 144, pp. 351–359). Elsevier Ltd. https://doi.org/10.1016/j.proeng.2016.05.143

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