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Precursor detection sensor - List of Manufacturers, Suppliers, Companies and Products

Precursor detection sensor Product List

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Visualize the condition of pumps, motors, and more! Component anomaly detection AI solution.

Visualize rotating parts with easy installation! Prevent equipment failure losses.

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.

  • Other operation management software

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AI Diagnosis to Prevent Sudden Failures: 'Rotating Parts Prognostic Detection AI Solution'

Visualize the status without stopping the equipment! AI suggests maintenance content without the need for threshold settings, contributing to reduced downtime. 【*Free case study collection available】

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.

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  • Sensors

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