No.1018E 2022Special Edition on Industry Related Technologies IoT for Industrial Furnace –Data Analysis Engineering for Detecting Signs of Anomalies– |
| Category | TECHNICAL REPORT |
|---|---|
| Author | M. HATTORI S. SUZUKI Product Development Dept., Koyo Thermo Systems Co., Ltd. |
| Abstract | Since the operation of industrial equipment cannot be stopped, people in the industrial field have strongly wished for failure prediction from long ago, but practical application has been elusive. However, the recent evolution of information technology has greatly advanced the possibility of failure prediction becoming a reality. We have built a platform for data collection and analysis on the cloud, and developed a system for detecting signs of anomalies and diagnosing deterioration in carburizing furnaces as a fi rst step. In this article, we introduce the system with a focus on data analysis examples. |
| Keyword | IoT, anomaly prediction, data analysis, industrial furnace, carburizing furnace |
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