A framework for cost-effective and accurate maintenance combining CBM RCM and data fusion

Cost-effectiveness and accuracy are two basic criteria for good maintenance. Reducing maintenance costs can increase net profit, while accurate maintenance actions can sustain continuous and reliable operation of equipment. As instruments and information systems tend to become cheaper and more reliable, condition-based maintenance has become an important tool for running a plant or a factory. This paper presents a novel condition-based maintenance framework that uses reliability-centered maintenance to save money and employs the data fusion strategy for improving condition monitoring, health assessment, and prognostics. This framework can help obtain optimal maintenance performance with good generality.