EMA fault detection using fuzzy inference tools

The present work shows a condition monitoring system applied to detect Fault Condition in EMA Systems. Removal of the engine hydraulic pumps requires fully-operative electrical power actuators and mastery of the flight control architecture. However, unexpected faults and lack of safety hinder the massive use of EMAs in flight control actuators and force to develop new systems and methods for supervision in aircrafts actuators. This research covers wide-range irregularities which are very often more difficult to analyse. In addition to traditional techniques like vibration and current signals, high frequency current bearing pulses and acoustic emissions are also analysed. A multivariable fuzzy inference analysis approach is presented to get around the diagnostic difficulty.