TDK Electronics · TDK Europe

Artificial Intelligence

March 17, 2025

TDK introduces edgeRX: The future of industrial machine health monitoring

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TDK Corporation (TSE: 6762) is excited to launch the TDK SensEI edgeRX, which represents a significant leap forward in industrial maintenance, bringing cutting-edge innovation to the forefront of machine health monitoring.

edgeRX is an advanced machine health monitoring platform that leverages the power of AI on edge sensor devices. By integrating advanced AI algorithms, edge computing, and powerful sensor devices, edgeRX provides real-time machine health monitoring, predictive maintenance insights, and actionable alerts directly on machines. 

edgeRX is a comprehensive, out-of-the-box solution which eliminates the need for extensive setup or specialized integration, allowing reliability engineers, maintenance technicians, and plant managers to quickly deploy and benefit from advanced machine monitoring capabilities. By proactively identifying potential issues before they escalate. edgeRX maximizes uptime, reduces maintenance costs, and enhances overall operational efficiency, making it an indispensable tool in modern manufacturing environments.

Supported by TDK’s extensive history in sensors and components, TDK is well-positioned to build and enhance the edgeRX platform, ensuring best-in-class performance and reliability. With decades of innovation and expertise, TDK Corporation has been a global leader in electronic components, sensors, batteries, and materials technology. TDK's rich legacy of pioneering advancements in these fields provides a strong foundation for the development of cutting-edge solutions like edgeRX.

 

Features & Applications

Main applications

  • Industrial IoT for manufacturing
  • Condition-based monitoring, predictive maintenance, prescriptive maintenance
  • Enterprise Machine Learning and Advanced Analytics platform

Main features and benefits

  • Real-Time Monitoring: Provides continuous oversight of machine health, allowing for immediate detection of potential issues and minimizing downtime
  • Predictive Maintenance Insights: Uses advanced AI algorithms to predict maintenance needs before failures occur, reducing unexpected breakdowns and maintenance costs
  • Actionable Alerts: Sends real-time notifications and alerts to reliability engineers and plant managers, enabling swift and informed decision-making
  • Comprehensive Out-of-the-Box Solution: Eliminates the need for extensive setup or specialized integration, allowing for quick and hassle-free deployment of the monitoring system
  • Seamless Integration: Integrates smoothly with existing systems, ensuring a streamlined process from data collection to model development and deployment, enhancing overall operational efficiencyt
     

Glossary

Edge Computing: A technology that processes data close to where it is generated (at the "edge" of the network), reducing latency and bandwidth usage compared to cloud computing
PdM (Predictive Maintenance): A maintenance strategy that uses data analysis and predictive algorithms to anticipate equipment failures before they occur, allowing for timely maintenance and minimizing downtime
CbM (Condition-Based Monitoring): A monitoring technique that continuously assesses the condition of equipment using real-time data, enabling maintenance decisions based on the actual health of the machinery rather than on predetermined schedules
 

 



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