Suggestion of anomaly detection with industrial big data

Abstract

These days in almost all manufactual companies in Japan, A lot of data are collected frequently everytime. These data has much useful information about the quality and operation of their production process lines. However, it is difficult for us to use the data well. these data has so many dimensions that it is hard to understand instantly what is wrong with their production processes and decide what to do. In this paper, I suggest a way to understand the condition of their production process lines easily with some knowledge of their masters to help us decide what to do to improve their quality or operation.