Advanced Predictive and Intelligent Analysis Methods for Machine Life Extension

Abstract

The proactive advanced maintenance techniques are used to evaluate mechanical conditions and performance of wellhead booster compressor package aiming to extend the intervals between major maintenance services while maintaining a high level of machine reliability. This paper will explain how advanced data acquisition, data analysis and OEM advised condition base techniques, have been integrated to predict conditions of reciprocating machinery more effectively. It has been proven that this integrated approach can predict conditions and support decision-making to extend machine service interval from 48,000 to 72,000 hours without compromising safety and machine reliability. It is an effective way that can reduce 26% of maintenance expenses equivalent to USD 620,000 per unit. The techniques are also applicable for diesel/gas engine generators. In conclusion, the use of advanced predictive maintenance with intelligent analysis method can provide valuable information to extend machine service life, improve reliability and save maintenance costs.