Study of louderspeaker fault identification and classification based on Mahalanobis Distance

In order to solve the problem of loudspeaker fault detection, the fault characteristic region of different fault types of louderspeaker can be identified based on the time-frequency analysis of the louderspeaker respond signals (LRS). The louderspeaker fault characteristic vector can be built. And the fault louderspeakers can be identified and classified by Mahalanobis Distance method, and the loudspeaker fault classification detector is established. It provides an effective method to LRS detection system on-line based on the time-frequency analysis.