To enhance safety in the aerospace field, AI instantly detects equipment anomalies.
In the aerospace field, extremely high safety standards are required, making abnormal detection and predictive maintenance essential. Particularly, even slight changes in precise manufacturing processes or operations can impact the safety and reliability of products. Therefore, it is crucial to capture early signs of equipment abnormalities to prevent troubles before they occur. The AI abnormal detection and equipment diagnosis system CX-D addresses these challenges by continuously monitoring equipment data with AI, instantly detecting anomalies to support enhanced safety and stable operations. 【Usage Scenarios】 - Abnormal detection in aircraft parts manufacturing lines - Operational monitoring of space equipment development and testing facilities - Reducing downtime through predictive maintenance of critical equipment - Identifying abnormal factors in quality control processes 【Benefits of Implementation】 - Reduction of risks associated with unexpected equipment shutdowns - Stabilization of product quality and improvement of reliability - Optimization of maintenance costs - Support for compliance with safety standards
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【Features】 - Automatic learning of abnormal signs in equipment and real-time monitoring using AI - Easy connection to various equipment (PLC, robots, etc.) without programming - Visualization of equipment status through a real-time dashboard - Supports not only anomaly monitoring but also analysis of causes of defects and condition diagnosis - Compatible with over 200 types of equipment connections, allowing for flexible system construction
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For case studies and implementation effects of this product, please watch the archived webinar. ▶ Watch the archived webinar here URL: https://sandx.seminarone.com/QHz1JY3jSEudFMm438x5Pg/event *The content is the same as the archived webinar above.
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We are a trading company that has been supporting manufacturing in the IoT era for 70 years. Our domestic locations include our headquarters in Kyoto (Minami-ku, Kyoto City), a sales office in Nagoya (Meito-ku, Nagoya City), a sales office in Shiga (Ritto City, Shiga Prefecture), a branch office in Akashi (Kakogun, Hyogo Prefecture), and a sales office in Okayama (Kita-ku, Okayama City), as well as two overseas locations in Malaysia and the Philippines.
