Condition monitoring of rotating machinery: Why should we measure above 10 kHz?
Nearline PM
Why can't we detect abnormalities quickly?
The cause lies in the measurement frequency range. Initial damage to bearings cannot be detected at conventional frequencies below 1 kHz. This white paper summarizes the reasons why measurements in the high-frequency range (10 kHz to 30 kHz) change predictive maintenance.
Inquire About This Product
Related Videos
basic information
■ Wireless vibration sensor that does not require wiring work - It uses a battery-operated wireless sensor, eliminating the need for wiring. ■ Automatic measurement once a day for near-constant monitoring; measurement frequency can be set as desired - Regular automatic measurements eliminate the need for manual measurement tasks. ■ Can be retrofitted, ideal for small-scale starts - Easy to expand retroactively, allowing for reduced initial costs. ■ High-frequency response (17kHz) detects early abnormalities in bearings - 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 life. ■ Easy operation and diagnostics via a dedicated app - Provides visualization of equipment status and abnormal diagnostics. ■ Technical support from our "Certified Vibration Diagnosis Professionals" *ISO 18436-2 compliant, Machinery Condition Monitoring Diagnostic Technicians (Vibration) - We provide one-stop support from consideration of introduction to aftercare.
Price range
Delivery Time
Applications/Examples of results
Predictive and preventive maintenance of rotating equipment such as motors, fans, blowers, and pumps, including failure signs. Daily or periodic inspections.
catalog（6）
Download All Catalogs
Company information
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.
