Diagnosis, Prognosis and Health Monitoring of Electro Hydraulic Servo Valves (EHSV) using Particle Filters

摘要

Electro hydraulic servo valves (EHSV) constitute as core parts of many hydraulic actuators such as multi-functional spoilers (MFS) in aircraft systems. Their continuous health monitoring is important for the overall flight safety as well as economizing down times and repairs. Hence, diagnosis, prognosis and health monitoring (DPHM) of EHSVs is addressed in this paper for multiple modes of degradations that might be present in the system. The objective of this paper is to demonstrate how each mode of degradation may be isolated and estimated, and how the remaining useful life (RUL) of the EHSV can be assessed for a critically safe component under strict safety regulations. In this paper Bayesian tracking and particle filters are utilized to address three main diagnosis and prognosis problems, namely `isolation', `estimation', and the `remaining useful life'. Several case studies simulations have been provided to demonstrate and illustrate the capabilities of our proposed methodologies.