A fault identification method for marine auxiliary machinery

A large number of auxiliary equipment is set up on the shipping system, most of them is rotating machinery and in working state for most of the time, it is very important to identify health condition of equipment to find early damage and avoid fatal failure. Acoustic emission is based on rapid release of energy in case of material deformation or cracking. Auxiliary equipment will continue to emit acoustic signals, which is collected by means of a protable detection device in this paper, parameters like RMS, Peak Factor are calculated to identify health condition in time domain. Through laboratory simulation test and real ship test, the result shows that by comparing the parameters of acoustic emission signal, health condition or its change trend can be obtained, early failure of equipment can be prevented.