SMART MANUFACTURING

Empowering manufacturers with Real-time Machine Health Insights

TDK SensEI: Delivering Edge AI to Enhance Efficiency Across Smart Sectors.

Fantasy image of two workers standing next to machines which have monitoring information floating in front of them.
Fantasy image of digital lines acting as monitoring information floating above machines in a factory.

Smart Manufacturing

In today’s manufacturing environment, unplanned downtime, aging equipment, and limited visibility into machine health remain persistent challenges. Many manufacturers still rely on reactive or schedule-based maintenance, leading to costly failures, inefficient production, and missed performance opportunities. Data overload, siloed systems, and the lack of real-time, actionable insights further complicate efforts to maintain consistent reliability at scale.
 
TDK SensEI’s AI-driven solutions are purpose-built to address these challenges head-on. By leveraging Edge AI, we enable continuous, real-time monitoring of machine health and production performance—directly at the source. Our industrial predictive maintenance capabilities detect subtle anomalies, predict failures before they occur, and eliminate unnecessary maintenance, dramatically reducing downtime and maintenance costs.
With deeper visibility into equipment behavior and process variability, manufacturers can move from reactive firefighting to proactive, data-driven decision-making—improving reliability, optimizing throughput, and ensuring consistent product quality across operations.

Rotating Equipment

Monitor motors, pumps, fans, and compressors using vibration, temperature, and current signatures to detect bearing wear, imbalance, or misalignment at the edge.

CNC Machines

Detect tool wear, spindle degradation, and abnormal cutting patterns before they impact part quality or cause machine stoppages.

Conveyor Systems

Identify belt misalignment, roller wear, motor overload, or lubrication failures in real time to prevent line stoppages.

Hydraulic Systems

Track pressure, flow, and vibration to detect leaks, cavitation, or valve degradation early.

Industrial Gearboxes

Detect early-stage gear tooth damage, lubrication issues, or resonance problems using edge-based vibration analysis.

Boiler and Steam Systems

Monitor temperature gradients, pressure anomalies, and pump vibration to prevent failures in critical thermal systems.

Compressed Air Systems

Detect leaks, failing compressors, or inefficient usage patterns that drive up energy costs.

Production Lines

Correlate machine health signals across multiple assets to identify reliability-driven throughput constraints.

Quality Degradations

Link subtle machine anomalies to downstream quality issues, enabling corrective action before scrap rates increase.

Beyond software

Monitoring Solutions to Promote Efficiency and Reduce Machine Downtime.

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Real-Time Visibility into Critical Production Assets

Manufacturing operations rely on complex, high‑value equipment such as motors, gearboxes, conveyors, robotics, and production machinery. edgeRX™ delivers real‑time insight directly at the machine level, giving plant and maintenance teams continuous visibility into asset health without waiting on centralized analysis. This immediate awareness enables faster response, reduced uncertainty, and better control over production performance.

Depiction of multiple devices showing TDK SensEI's edgeRX™ platform.
Icon representing edge computing.

Proactive Maintenance Without Production Interruptions

Rather than reacting to failures after they disrupt output, edgeRX™ enables proactive maintenance by identifying developing issues early and locally. By processing data at the edge, maintenance teams can address problems during planned windows—reducing unexpected downtime, avoiding line stoppages, and keeping production schedules on track.

Image of TDK SensEI's edgeRX™ LYNQ sensor.
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Scalable, Always-On Intelligence Across the Factory Floor

Manufacturing environments often span multiple lines, cells, and facilities. edgeRX™ provides a scalable foundation for machine intelligence by running analytics where equipment operates—minimizing network dependency and simplifying deployment across the factory floor. This approach supports consistent maintenance strategies while reducing operational complexity and long-term costs as operations scale.

TDK SensEI product edgeRX™ dashboard opened on a laptop, being used by a maintenance worker.
Beyond software

Monitoring Solutions to Promote Efficiency and Reduce Machine Downtime.

Real-Time Visibility into Critical Production Assets

Manufacturing operations rely on complex, high‑value equipment such as motors, gearboxes, conveyors, robotics, and production machinery. edgeRX™ delivers real‑time insight directly at the machine level, giving plant and maintenance teams continuous visibility into asset health without waiting on centralized analysis. This immediate awareness enables faster response, reduced uncertainty, and better control over production performance.

Depiction of multiple devices showing TDK SensEI's edgeRX™ platform.
Image of TDK SensEI's edgeRX™ LYNQ sensor.

Proactive Maintenance Without Production Interruptions

Rather than reacting to failures after they disrupt output, edgeRX™ enables proactive maintenance by identifying developing issues early and locally. By processing data at the edge, maintenance teams can address problems during planned windows—reducing unexpected downtime, avoiding line stoppages, and keeping production schedules on track.

TDK SensEI product edgeRX™ dashboard opened on a laptop, being used by a maintenance worker.

Scalable, Always-On Intelligence Across the Factory Floor

Manufacturing environments often span multiple lines, cells, and facilities. edgeRX™ provides a scalable foundation for machine intelligence by running analytics where equipment operates—minimizing network dependency and simplifying deployment across the factory floor. This approach supports consistent maintenance strategies while reducing operational complexity and long-term costs as operations scale.

Beyond software

Monitoring Solutions to Promote Efficiency and Reduce Machine Downtime.

Depiction of multiple devices showing TDK SensEI's edgeRX™ platform.

Real-Time Visibility into Critical Production Assets

Manufacturing operations rely on complex, high‑value equipment such as motors, gearboxes, conveyors, robotics, and production machinery. edgeRX™ delivers real‑time insight directly at the machine level, giving plant and maintenance teams continuous visibility into asset health without waiting on centralized analysis. This immediate awareness enables faster response, reduced uncertainty, and better control over production performance.

Image of TDK SensEI's edgeRX™ LYNQ sensor.

Proactive Maintenance Without Production Interruptions

Rather than reacting to failures after they disrupt output, edgeRX™ enables proactive maintenance by identifying developing issues early and locally. By processing data at the edge, maintenance teams can address problems during planned windows—reducing unexpected downtime, avoiding line stoppages, and keeping production schedules on track.

TDK SensEI product edgeRX™ dashboard opened on a laptop, being used by a maintenance worker.

Scalable, Always-On Intelligence Across the Factory Floor

Manufacturing environments often span multiple lines, cells, and facilities. edgeRX™ provides a scalable foundation for machine intelligence by running analytics where equipment operates—minimizing network dependency and simplifying deployment across the factory floor. This approach supports consistent maintenance strategies while reducing operational complexity and long-term costs as operations scale.

FAQ about smart manufacturing

In smart manufacturing environments, industrial machine health monitoring analyzes real operating behavior from connected machines and production systems rather than relying on static fault models. By continuously learning from live data at the machine level, it identifies emerging fault patterns beyond predefined rules, enabling predictive insights and prescriptive actions that support continuous improvement, higher uptime, and digitally driven maintenance strategies.

Industrial machine health monitoring supports a wide range of smart manufacturing assets including pumps, motors, gearboxes, conveyors, compressors, robotics, and other critical production equipment, integrating seamlessly with automated processes, connected sensors, and variable production workloads.

Yes. Industrial machine health monitoring can scale from individual machines to entire production lines and multi‑site smart manufacturing operations, providing consistent visibility and standardized insights while adapting to site‑specific automation levels, machine configurations, and operating conditions.

Traditional alarms rely on fixed thresholds that often generate noise during normal process variations in automated environments. Industrial machine health monitoring continuously learns what normal looks like for each machine within its process context and flags only meaningful deviations, enabling smarter alerts that align with advanced automation and digital manufacturing workflows.

Yes. Industrial machine health monitoring performs analytics directly at or near the machine, allowing smart manufacturing operations to function with limited or intermittent cloud connectivity while reducing network load and supporting resilient OT‑focused deployments.

Yes. Industrial machine health monitoring can be deployed on a single smart machine, scaled across a production line, or expanded plant‑wide, supporting targeted reliability initiatives as well as broader smart manufacturing goals such as increased automation reliability, data‑driven decision‑making, and operational excellence.

Picture of two workers attending to a machine.

Let’s have a conversation about Reducing Downtime, Managing Blind Spots, and Ditching Reactive Maintenance.​​