Failure Detection of Aircraft Engine Output Sensors via Bayesian Hypothesis Testing

Abstract

Introduction T last two decades have been significant for advancements in control systems. The development of state space analyses has made possible the application of modern control techniques to real problems. The potential for applied modern control theory in the design of future generations of aircraft engines has been recognized by contemporary researchers.' The use of multiple hypothesis testing techniques for detecting the failure state of rate sensors on modern aircraft has been noted. Extension of these ideas to the aircraft engine problem was first considered by De Silva. Further extensions to the problem of large variations in the system output are treated in the present paper.