Operation content recognition from power consumption pattern of manufacturing equipment

Abstract

In this paper, we propose a method to recognize operation contents from power consumption pattern of manufacturing equipment for the purpose of improving productivity in manufacturing industry. The main purpose of our research is to reduce unnecessary power and operations in the manufacturing process by using the actual power consumption data of the machines. The proposing method consists of following two stages. (1) Extract each operation period from the series of waveform of power consumption mixed multiple working operations, (2) Recognize operation content from the extracted waveform. As a result of evaluation using the actual manufacturing equipment power waveform, it was confirmed that the operation contents can be extracted automatically.