Integrated Diagnostics and Prognostics of Rotating Machinery

Abstract

This paper provides an overview of current research efforts in integrated diagnostics and prognostics of rotating machinery. Specifically, the following topics are discussed: sensing techniques and sensors; signal detection, identification and extraction; classification of faults; predictive failure models; data/model fusion; information management; and man–machine interface. Technical issues, recommendations, and future research directions are also addressed.

Keywords

• Condition-based maintenance
• Diagnostics
• Prognostics
• Sensor
• Detection and classification
• Data fusion.