INT-06 STUDY ON EFFICIENT PHS POSITION TRACKING SYSTEM FOR TRANSPORT EQUIPMENTS USING ACCELEROMETER AND SUPERVISED MACHINE LEARNING(Intelligent Machines II,Technical Program of Oral Presentations)
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.
