Signal processing for fault monitoring using acoustic emissions

Automatic fault monitoring techniques in machinery are a means to safely re lax and simplify expensive preventive maintenance and inspection procedures . Acoustic emissions that are ultrasonic waves emanating from the formation or growth of a crack in a material is a possible avenue for detecting faul ts due to fatigue or other sources of deterioration. In this paper we prese nt some of the signal processing techniques that we have proposed and evalu ated for providing reliable fault monitoring and diagnostics based on acous tic emissions.