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.
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【Implementation Results】 ■Captured signs and enhanced subsequent support - Able to capture even slight signs - Became more efficient with support and advice on data collection *For more details, please download the PDF or feel free to contact us.
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Chuden CTI was established in 2003 through the merger of Chuden Computer Service Co., Ltd., founded in 1978, and Computer Technology Integrator Co., Ltd., founded in 1989. Since then, as an IT company of the Chubu Electric Power Group, we have supported the "stable supply of energy" and the "creation of new value" demanded by our customers and society through IT, and have worked towards the development of the region. Our company aims to connect people to people, people to society, and society to society through suitable IT services, striving to create a safe, secure, and rich life, as well as a better future.




