THK Product Lineup

"OMNl edge" is an IoT service that visualizes the current state of components by simply attaching sensors, enabling anomaly detection. When any component is in a "different than usual" state, an email notification is sent. It can be easily retrofitted to equipment that is already in operation. By packaging it, we solve the challenges of "difficult IoT implementation, setup, and operation" all at once. 【Features】 ■ Collect and analyze the state of components with the THK SENSING SYSTEM ■ Notify responsible personnel via email about any abnormalities in components ■ Visualization of component status ■ Achieve efficiency in maintenance operations, reduce inventory management costs, and improve equipment utilization rates ■ Support smooth execution of production plans *For more details, please refer to the PDF document or feel free to contact us.

This document introduces the "Sign of Exchange." It includes sections such as "To Use LM Guides with Confidence" and "Introduction of New Services." Our company not only offers suggestions for "Lubrication Amount" and "Lubrication Interval" according to specifications, but also proposes "Enhanced Sealing Performance" to improve dust resistance. 【Contents】 ■ Deformation and Damage of End Plates ■ Deformation and Damage of End Seals ■ Deformation and Discoloration of Rails ■ To Use LM Guides with Confidence ■ Introduction of New Services *For more details, please refer to the PDF document or feel free to contact us.

"OMNl edge" is a system that visualizes the condition of parts numerically by simply attaching sensors to them. It can be easily retrofitted to equipment that is already in operation. <This system solves the following problems> ■ Maintenance relies on the experience and intuition of skilled workers ■ Although implemented with TBM (Time-Based Maintenance), it tends to be over-maintained ■ Want to introduce IoT, but costs are too high ■ Sudden failures, etc. <Applicable parts and equipment> ◎ LM guides ◎ Ball screws ◎ Actuators ◎ Machine tools ◎ Injection molding machines ◎ Robot transport platforms ◎ Packaging machines ◎ Equipment operating in tough environments, etc. 【Features】 ■ By understanding the condition of linear motion components' damage and lubrication in numerical terms, decision-making is not dependent on individuals ■ Detects signs before failure. Prevents sudden breakdowns and reduces costs and labor hours ■ Notifies responsible personnel of abnormalities in parts via email ■ Achieves reduction in inventory management costs and improvement in equipment operating rates ■ Supports smooth execution of production plans ■ Comprehensive support for Before/After *For details, please refer to the catalog available for download in PDF format.

In manufacturing sites, the proliferation of IoT has led to the use of sensors in various fields for understanding equipment operating conditions and predictive maintenance. This technical document introduces commonly used sensors in manufacturing, including vibration sensors, AE sensors, and current sensors. 【Contents】 ■ What is a sensor? ■ Types of sensors commonly used in IoT ■ Examples of sensors frequently used in manufacturing IoT ・ Vibration sensors ・ AE sensors ・ Current sensors ■ Key points for selecting sensors *For more details, please refer to the PDF document or feel free to contact us.

THK provides the 'OMNIedge' platform for maximizing OEE (Overall Equipment Efficiency) to eliminate various losses occurring in production sites. In the "Rotating Parts Anomaly Detection AI Solution," we deliver a one-package solution that includes all the necessary devices and services for anomaly detection, such as sensors, routers, web applications, and alert functions. Based on the data obtained from sensors, our AI calculates the degree of anomalies and suggests potential failure points and recommended maintenance methods, contributing to the reduction of maintenance workload and downtime. 【For concerns like these】 ■ We want to prevent unexpected failures and downtime of rotating equipment. ■ Maintenance tasks have become too reliant on specific individuals. ■ Equipment that requires inspection is located far apart, leading to wasted time and effort in moving. ■ Even if data is obtained from sensors, there is no time for analysis or know-how for utilization, making it difficult to take the next action. *We are currently offering a free collection of case studies that illustrate solutions to management losses and failure losses in production sites. Please refer to the materials for more details. Feel free to contact us as well.

Manufacturing equipment and utility facilities that are essential to the production line often use rotating parts, and the frequency of maintenance remains high, placing a significant burden on maintenance management. In response to our customers' requests to "improve maintenance levels," our company will expand our support for rotating parts with our existing concepts of "easy retrofitting," "a safe communication network that allows for reliable data utilization," and "affordable pricing to get started." 【Applications】 - Manufacturing equipment on production lines - Process automation - Industries where numerous devices are maintained in locations away from the office You can visually inspect the condition on-site during patrols and monitor remotely from the office. This helps prevent significant losses caused by equipment failures between patrols. *For more details, please view the catalog available for PDF download.

The predictive detection AI solution 'OMNIedge' is designed to reduce losses in production sites and contribute to maximizing Overall Equipment Effectiveness (OEE). It addresses the following concerns in production environments: 【Disruption of human work】 - Management losses - Motion losses 【Disruption of equipment efficiency and operational levels】 - Failure losses - Setup and adjustment losses - Tool change losses 【Obstacles to efficiency】 - Yield losses - Energy losses To tackle these challenges faced by the manufacturing industry, THK offers assistance through retrofitted IoT solutions. *For more details, please download the PDF or contact us.

This document provides a detailed explanation of predictive maintenance to prevent motor failures before they occur. It clearly introduces the challenges of implementing predictive maintenance, such as "difficulty in sensor/device selection," "initial costs," and "lack of specialized knowledge and personnel," as well as the component anomaly detection AI solution "OMNIedge." This book serves as a useful reference when selecting products, so please feel free to download it and read it. 【Contents】 ■ What is predictive maintenance? ■ Challenges in implementing predictive maintenance ■ OMNIedge: Solutions to these challenges ■ Summary *For more details, please download the PDF or feel free to contact us.

This document clearly introduces the points of energy visualization and CO2 reduction in factories. Starting with the basic formula for calculating CO2 emissions (activity level × emission factor), it explains detailed visualization methods at the manufacturing line and equipment level, as well as five approaches: thorough energy-saving operations, enhancing equipment efficiency, utilizing renewable energy, optimizing logistics, and carbon credits. It serves as a useful reference when considering implementation. We encourage you to read it. 【Contents】 ■ Why is CO2 reduction in factories necessary now? ■ Three steps to visualize CO2 emissions in factories ■ Five approaches to achieve decarbonization and advanced energy-saving technologies ■ GX solution case study: THK Yamaguchi Factory ■ Summary *For more details, please download the PDF or feel free to contact us.