Use the data at hand for fault prediction and quality improvement!
"Predicting Failure Timing Using Vibration Data" is our company's data mining and consulting service. In vibration data analysis, several implementation methods can be assumed depending on the monitoring methods and the data you have. This document clearly introduces the methods of prediction using vibration data and user case studies. *For more details, please refer to the catalog or feel free to contact us.*
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basic information
【Analysis Policy】 - Correlation analysis based on regular measurements - Correlation analysis based on continuous measurements - Analysis based on failure history *For more details, please refer to the catalog or feel free to contact us.
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Applications/Examples of results
It can be utilized in various scenarios such as fault prediction from motor vibration values!
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Company information
Our company develops and sells a "Maintenance Management System" for managing and operating various plants, factories, and other facilities and assets. Currently, this system is undergoing significant evolution into a system that incorporates IoT technologies, such as sensor information and input from tablet devices, as well as AI technologies like machine learning, featuring functions for failure prediction and automatic scheduling. Additionally, as part of the recent trend of digital transformation (DX), there is a growing movement to digitize and automate manufacturing processes and research and development sites in factories to improve operational efficiency. In line with this trend, our company provides a solution aimed at enhancing efficiency in research and development environments, which is the Laboratory Information Management System (LIMS). This software includes features such as workflow management, data tracking, data management, data analysis, and integration of electronic lab notebooks.
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