Fuzzy Logic-based Maintenance Optimization

Abstract

The effective maintenance activities, at relevant frequencies, are designed to maintain functionality and prevent catastrophic failure of process plant equipments thus ensuring that the risk associated with it are limited. To diagnose the unreliable aspects of the machine, root cause failure analysis (RCFA) of the component failure is carried out by listing all the possible causes related to the machine units. The ability to predict and prevent failures and to make informed decisions based on consolidated equipment health and performance data becomes critical. The paper focuses on developing an integrated maintenance management framework to establish just-in-time maintenance and to ensure continuous improvements based on maintenance domain experts as well as operational and historic data. Efforts have been made to identify the true degradation pattern of a component by analyzing vagueness and imprecise knowledge.