Examples of predictive maintenance through data analysis in the manufacturing industry.
Don't miss the signs and achieve zero post-incident response! Contribute to stable BCP measures with subsequent support.
This is an introduction to a predictive maintenance case study using data analysis in the manufacturing industry. Due to the fact that pipe damage has been addressed reactively, there is a need for preventive measures. We received a request to capture pipe damage or abnormalities in advance. Therefore, we implemented an equipment diagnostic system. We have become capable of detecting even slight signs of trouble, and we also provided support and advice for data collection, leading to increased efficiency. [Challenges] ■ We want to diagnose signs of trouble without missing even minor abnormalities. - Pipe damage has been addressed reactively, and we want to prevent it in advance. - There are dissatisfaction with the conventional data acquisition methods. *For more details, please download the PDF or feel free to contact us.
- Company：中電シーティーアイ 本社
- Price：Other
