SolutionsSolutions for IoT
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Data Analysis of Installations or Workers
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Example
Errors can be detected and their locations can be estimated without stopping the installation. This improves productivity and quality further as well as prevents failure in advance.
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*1: When using the user's machine control programs together with the rotary machine vibration diagnosis programs, the scan time will be extended. As this affects the machine control, use multi-CPU configuration.
Product Lineup
Use Cases
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Data Collection/Analysis
Performing analysis and diagnosis with a PLC
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Data Collection/Analysis
Using AI to create learning models for quality improvement and predictive maintenance
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Data Collection/Analysis
Eliminating the performance gap between experts and inexperienced workers
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Data Collection/Analysis
Replacing tools of machine tools only when necessary
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Data Collection/Analysis
Conducting predictive maintenance on equipment by diagnosing vibration data
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Total Maintenance
Preventing defect outflow by understanding the tendency of molding defects
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Total Maintenance
Detecting machining defects and preventing the outflow of defective products
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Total Maintenance
Improving quality while reducing costs
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Total Maintenance
Understanding the signs of errors for equipment that use rotating mechanisms
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Total Maintenance
Performing maintenance work on cylinders at the right time
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Total Maintenance
Detecting drive component age-related deterioration (ball screws, belts, gears)
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Total Maintenance
Conducting maintenance before robots fail
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IoT Solutions for Machining Lines
Improving quality while reducing costs by utilizing AI in machining diagnosis
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IoT Solutions for Machining Lines
Utilizing the collected data to visualize the operation statuses and production results
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IoT Solutions for Machining Lines
Improving the machining accuracy of molds and prototype parts and shortening machining time