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The predictive diagnostics technology is effective for achieving continuously stable operations and reduced maintenance costs. We support customer businesses by providing our predictive diagnosis solution integrating our OT knowhow accumulated through many years of experience in maintenance services and IT analytics. We will realize stable operations and improved production efficiency for customer equipment by reducing maintenance costs realized by performing inspections at appropriate times and by preventing serious accidents such as damage to equipment or long periods of equipment operation stoppage.

Flow introducing the predictive diagnostics service

The predictive diagnostics solution identifies issues that occur with customer equipment by performing consultations with customers and surveys of customer equipment (installed in the field), and provides services suitable for implementing stable operations and improved production efficiency of customer equipment.

Use cases (introduction cases)

The predictive diagnostics technology is effective for achieving continuously stable operations and reduced maintenance costs. We support customer businesses by providing our predictive diagnostics solution integrating our OT knowhow accumulated through our many years of experience in maintenance services and IT analytics. We will realize stable operations and improved production efficiency for customer equipment by reducing maintenance costs realized by performing inspections at appropriate times, and by preventing serious accidents such as damage to equipment or long periods of equipment operation stoppage.

Use Case 1: The failure rate in small power generation equipment was reduced by about 45 percent

We have delivered 170 units of high efficiency gas engine power generation equipment to customers at about 100 sites nationwide, including offices, hospitals, shopping malls and others, to provide remote monitoring and predictive diagnostics services by HiPAMPS.

Prior to the introduction of HiPAMPS, corrective maintenance was often provided after a failure occurred and the analysis of the causes had been only temporarily performed. Therefore, there was a problem where it was difficult to accumulate experience as knowledge. After HiPAMPS was introduced, the operation rate improved by performing maintenance operations and part exchanges at the appropriate time, due to the collection and analysis by sampling for 30 second of about thirty types of sensor data including temperature data, pressure data, rotation, and the like from the sensors installed on the equipment. The failure rate was reduced by about 45 percent (compared to our company‘s products in fiscal 2013) due to improvement in many aspects including the quality of parts and predictive diagnostics.

Use Case 2: The risk of unscheduled stoppage of the production line was minimized

A certain customer in the manufacturing industry that owned a large amount of press machine equipment was unable to grasp the equipment status because no sensors were installed for equipment monitoring. Accordingly, the costs of defective work were required due to unscheduled equipment stoppage and damaged molds. Suppression of these costs was the issue.

To solve this issue, we implemented surveys in the field of the customer and created a system for remotely monitoring the equipment status with strain sensors and acceleration sensors in cooperation with the customer. As a result, we built a system capable of detecting signs of anomalies prior to actual failures with predictive diagnostics by HiPAMPS and contributed to reducing the costs of defective work.