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Are there any challenges regarding the productivity and maintenance of production and packaging machinery, as well as the utilization of manufacturing data in food manufacturing sites? The on-site diagnostic device SignAIEdge utilizes statistical analysis technology to solve these issues. It enables the detection of "something is different," similar to the intuition and experience of skilled workers (anomaly detection), and allows for improvements in "what is different" through analytics and AI (statistical analysis) (cause analysis). As a result, it achieves failure prediction and anomaly detection, addressing various challenges in food manufacturing sites.
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Free membership registrationThe rotating machinery fault prediction monitoring system can regularly measure the vibrations of rotating machines operating as production lines or critical equipment. For example, it automatically records the "low-frequency mechanical vibrations," "high-frequency bearing vibrations," and "temperature" of machinery such as rotating machines, fans, pumps, power generation equipment, and presses, and manages the trends. This enables the early detection of abnormal signs, contributing to the planning of appropriate preventive maintenance and the reduction of production loss costs.
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Free membership registrationThe FWOSP-Glass, a remote work support system, is a solution that utilizes smart glasses to grasp the on-site situation in real-time and provide instructions and support for tasks.
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