Abstract:

A test method is proposed based on k-means average classification thought, which is designed for testing the data from on-load tap changer to help the repair personnel quickly locate the faults. Compared with original k- means algorithm, the experiment shows that using fuzzy k-means algorithm largely improves accuracy and stability of the recognition results, and this classification method has good ability in fault diagnosis, which can make a quick diagnosis according to the data from on-load tap changer, and help the repair personnel quickly locate the faults.

Key words: k-means, fuzzy k-means, on-load tap changer, fault diagnosis, data analysis