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Fault Mode Identification of Engine Based on Audible Sound

In this paper, we demonstrate ways of identifying audible sound of working engine to distinguish whether it is in normal condition or faulty condition. A set of experiments were carried out on an engine from a heavy trunk, in order to verify the method, allowing the three sensors located on engine surface to accurately adapt the normal signal and the faulty signal. A technique for faulty mode identification on the engine has been developed based on audible sound. In a practical application of the technique to running engines we capture data of audible sound and a series of analysis were acted on the data, then we could acquire the result to distinguish the state of engine.