A Method of OLTC Fault Diagnosis Based on Fuzzy Clustering
A technology of fuzzy clustering and fault diagnosis, which is applied in the testing of mechanical components, character and pattern recognition, testing of machine/structural components, etc. It can solve problems such as large energy loss, interference with engineering applications, and difficulty in implementation
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[0033] Below, the present invention will be described in further detail in conjunction with the accompanying drawings.
[0034] Such as figure 1 As shown, the present embodiment discloses a method for OLTC fault diagnosis based on fuzzy clustering, comprising the following steps:
[0035] (1) Attach the vibration detection probe to the top of the box wall of the on-load tap-changer, and collect the vibrations generated during the operation of the on-load tap-changer in the normal state, loose contact state, contact wear state, and contact burnt state respectively. Vibration signals, and 40 groups of vibration signals in each state are collected;
[0036] Because the vertical top of the OLTC (the top of the box wall) is directly connected to the contact action structure, the vibration signal at the top is the strongest. Therefore, the vibration sensor is placed on the vertical top of the OLTC, and the collected normal vibration signals are as follows: figure 2 shown.
[003...
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