Fault diagnosis and failure prognosis in hydraulic systems

Abstract Hydraulic machinery systems are a widely used machine found in hydropower stations. As a result, it is vital that such machinery is monitored, diagnosed, maintained, or replaced prior to failing to reduce downtime and labor costs. Currently, most researchers have begun to investigate condition-based maintenance or a predictive maintenance strategy instead of a time-based maintenance strategy. This chapter reviews the state of the art in diagnostics and prognostics pertaining to hydraulic machinery systems. Attention is given to detailing the application status of sensor detection technology, cavitation research, intelligent evaluation and diagnosis technology, and prognostics research, among others, used by researchers in the main areas of diagnostics and prognostics.