Signs of bearing abnormalities are not visible unless measured above 10 kHz.
Condition monitoring of rotating machinery: Why should we measure above 10 kHz?
"Why can't we detect abnormalities quickly?" The reason lies in the measurement frequency range. Initial damage to bearings cannot be captured below the conventional 1kHz. This white paper summarizes the reasons why high-frequency measurements (10kHz to 30kHz) change predictive maintenance.
basic information
■ Wireless vibration sensor that requires no wiring work - It uses a battery-operated wireless sensor, eliminating the need for wiring. ■ Automatic measurement once a day for near-continuous monitoring - Since measurements are taken automatically and regularly, manual measurement work is not required. ■ Can be retrofitted, ideal for small-scale starts - Easy retrofitting allows for reduced initial costs. ■ High-frequency response (17kHz) detects early bearing abnormalities - Early abnormalities in bearings often appear in the high-frequency range, which is why we focus on high-frequency response. ■ Long battery life design of approximately 5 years - Despite being a compact sensor, it ensures battery longevity. ■ Easy operation and diagnostics via a dedicated app - Provides visualization of equipment status and abnormal diagnosis. ■ Technical support from our "Certified Vibration Diagnosis Specialists" - One-stop support from consideration of introduction to aftercare, compliant with ISO 18436-2 for machinery condition monitoring diagnostic technicians (vibration).
Price range
Delivery Time
Model number/Brand name
Nearline PM
Applications/Examples of results
Rotating machinery 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.