Machine Condition Monitoring and Remaining Life Prediction Using Integrated Approach

Abstract

Machine condition monitoring has become a vital component of maintenance programs in machine intensive industries. Vibration and oil analysis have become the two most commonly used techniques for fault detection and tracking. While these techniques are generally used independently, numerous case studies of machine failures have reported on the benefit of a correlated use. This paper discusses the development of a series of expert systems that, for the first time analyse vibration data in conjunction with oil and wear debris data for machine health assessment, as well as remaining lifetime estimation. The reports of previous research regarding the complimenting and sometimes contradicting nature of the correlation are discussed and compared to the results of the research outcomes.