Method for diagnosing mechanical states of distribution switch on basis of EMD sample entropy and FCM

The invention discloses a method for diagnosing mechanical states of a distribution switch on the basis of empirical mode decomposition (EMD) sample entropy and fuzzy c-means clustering (FCM). The method comprises the following steps that a piezoelectric accelerometer is mounted near to a main shaft of a switch operating mechanism, and the vibration signals of the distribution switch of different mechanical states at the off and on moments are collected through a data acquisition card and a waveform display storage platform; EMD time frequency decomposition is carried out on the collected vibration signals to obtain the limited number of intrinsic mode components of different frequency and unequal bandwidths and residual error components; the sample entropies of intrinsic mode functions (IMFs) of all orders of the vibration signals of different mechanical states are calculated, and a sample entropy array is formed as the characteristic quantity of the mechanical states of the distribution switch; the sample entropy array is used as the input of the FCM, and the mechanical states of the distribution switch are diagnosed through a fuzzy clustering method.