Anomaly Detection and Fault Prediction Solutions through Data Mining
For abnormal detection and failure prediction of equipment and devices, as well as quality improvement! We will introduce the procedures in an easy-to-understand manner!
The "Anomaly Detection and Failure Prediction Solution through Data Mining" is a data mining service and system construction service provided by Wavefront Co., Ltd., which engages in the development and sales of software for electronic computers, analysis using software, design, and consultation. This document introduces a general image of service implementation and specific images that reflect the content we frequently receive inquiries about. 【Features】 ■ Anomaly detection and failure prediction ■ Maximization of operational efficiency ■ Optimization of maintenance costs and maintenance cycles ■ Quality improvement *For more details, please refer to the catalog or feel free to contact us.
basic information
【Order Achievements (Partial)】 ■ Implementation of a maintenance program for power companies ■ Development and implementation of a maintenance calendar system including risk assessment for local governments ■ Estimation of failure rates based on inspection results and failure history for rotating machinery for power companies, and reflection in maintenance planning ■ Classification of equipment characteristics and estimation of lifespan based on the MT method for construction companies, and reflection in maintenance planning ■ Estimation of failure rates in injection equipment and examination of maintenance methods, and application to planning *For more details, please refer to the catalog or feel free to contact us.
Price range
Delivery Time
Applications/Examples of results
For more details, please refer to the catalog or feel free to contact us.
catalog（3）
Download All Catalogs
News about this product（1）
Recommended products
Distributors
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 one 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 towards digital transformation (DX), there is a growing movement to digitize and automate manufacturing processes and research and development sites in factories to enhance operational efficiency. In line with this trend, our company provides a solution aimed at improving efficiency in research and development environments, known as the Laboratory Information Management System (LIMS), which includes features such as workflow management, data tracking, data management, data analysis, and integration of electronic lab notebooks.