Nearline PM for Financial Institutions
Early detection of bearing abnormalities to reduce fraud risk.
In financial institutions, stable operation of equipment is essential, and system downtime due to fraudulent activities can lead to significant losses. In particular, abnormalities in rotating machinery, which are critical infrastructure, can trigger a complete system shutdown. Nearline PM detects bearing abnormalities in high-frequency bands above 10 kHz, capturing signs of failure early to prevent system downtime caused by fraud risks. 【Usage Scenarios】 * Data center air conditioning systems * Backup power supply systems * Monitoring of critical infrastructure equipment 【Benefits of Implementation】 * Improved business continuity through stable operation of equipment * Reduced risk of system downtime due to failures * Early detection of abnormalities through high-frequency measurements
basic information
**Features** * Wireless vibration sensor that requires no wiring * Automatic measurement once a day as standard * Can be retrofitted, ideal for small-scale starts * High frequency support (17kHz) to detect initial abnormalities in bearings * Long-life design with a battery life of approximately 5 years **Our Strengths** Asahi Kasei Engineering Corporation provides integrated engineering from design and construction to maintenance, and develops equipment diagnostic tools utilizing digital technology. We offer one-stop support from consideration of introduction to aftercare.
Price information
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Delivery Time
Model number/Brand name
Nearline PM
Applications/Examples of results
Rotating machines such as motors, fans, blowers, and pumps.
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Asahi Kasei Engineering Corporation is a company that conducts design, procurement, and construction (EPC) with an eye toward maintenance, and also proposes appropriate maintenance based on design data. In addition to maintenance, it is also possible to propose information systems that consider production efficiency and production losses. In terms of maintenance, we are developing equipment diagnostic devices that utilize digital technology.





















