抄録
This paper studies an algorithm to judge moving and stopping status of distribution equipment from continuous vibration measurement. The key for this algorithm is a decision of threshold level, which differs according to the distribution equipment. For this end, supervised machine learning, which decides the proper threshold using the result of PHS location measurement as a training data is employed and fundamental effectiveness of algorithm is confirmed.