ProMat 2025: TDK introduces edgeRX AI-powered machine health monitoring platform

Components, sensors, and software provider TDK Corporation recently launched its SensEI edgeRX, an AI-powered machine health monitoring platform for industrial maintenance.

EdgeRX uses the power of AI on edge sensor devices. By integrating AI algorithms, edge computing, and sensor devices, TDK said edgeRX can provide real-time machine health monitoring, predictive maintenance insights, and actionable alerts directly on machines.

TDK is showcasing its software and component offerings at ProMat 2025 in booth N8509.

The trade show is being held March 17-20 at the McCormick Place Convention Center in Chicago, Ill.

Platform can detect and classify machine issues

TDK said edgeRX is a comprehensive, out-of-the-box system that reduces 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 can help maximize uptime, reduce maintenance costs, and enhance overall operational efficiency, making it a useful tool in modern manufacturing environments.

Supported by the company’s history in sensors and components, TDK said it is well-positioned to build and enhance the edgeRX platform, ensuring performance and reliability, with decades of knowledge in electronic components, sensors, batteries, and materials technology.

Features of edgeRX include:

• Complete platform: Advanced sensors, gateway, dashboard, and AI are all included
• Easy data collection: An adaptable system that collects data automatically
• Smart detection: Multi-class automated operation label detection
• Accurate monitoring: Advanced methods that classify and detect any issues in an operation
• Customizable alerts: Adjustable sensitivity parameters such as anomaly detection frequency
• Quick response: Fast and efficient methods to take immediate action when needed
• Continuous monitoring: Real-time tracking identifies, predicts, and prevents degradation/failure
• Smooth integration: Seamless data collection, model development, and deployment

Industry 4.0 can benefit from AI-powered predictive maintenance

TDK said the current state of machine health monitoring is advancing beyond legacy condition based monitoring toward predictive maintenance.

Predictive maintenance leverages advanced technologies such as AI, IoT, and sensor fusion to monitor the health of equipment in real-time, providing predictive insights that can help reduce downtime and increase production output.

“Maintaining optimal machine health is crucial in industrial manufacturing operations to keep maintenance costs low and production output high,” said Sandeep Pandya, CEO of TDK SensEI, a TDK group company. “AI is a crucial ingredient to achieve optimal machine health, however manufacturers have historically struggled to implement AI. The edgeRX platform offers an out-of-the-box experience to solve the AI challenge and accelerate manufacturers' ability to achieve optimal machine health.”

TDK said according to recent reports, the market size for predictive maintenance is growing rapidly and is projected to reach at least $13 billion in 2025 with a CAGR of over 35% over the next 5 years. This growth is fueled by advancements in technology, adoption of AI, and Industry 4.0 acceleration.

"When we decided to launch TDK SensEI mid-2024, edgeRX is exactly the type of innovative product that we envisioned the team bringing to market” said Noboru Saito, TDK Corporation CEO and president. “We believe edgeRX marks a pivotal moment in the manufacturing industry as edgeRX is the perfect product to solve everyday maintenance related issues with easy-to-implement AI.”