The accuracy of predictive maintenance will dramatically change! Introduction to "High-Frequency Vibration Diagnosis"
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Condition monitoring of rotating machinery: Why should we measure above 10 kHz?
Did you know that abnormalities in the bearings of rotating machinery actually manifest most quickly in the high-frequency range above 10 kHz? Despite signs appearing 3 to 6 months before a failure, many sites are unable to measure these signals. This document clearly explains the necessity of high-frequency measurements from both the perspective of actual measurement data and diagnostic techniques.
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basic information
■ Wireless vibration sensor that requires no wiring work - It uses a battery-operated wireless sensor, eliminating the need for wiring. ■ Automatic measurements once a day for near-constant monitoring - Since measurements are taken automatically at regular intervals, manual measurement work is not required. ■ Easily retrofittable, ideal for small-scale starts - The ease of retrofitting allows for reduced initial implementation costs. ■ High-frequency response (17kHz) detects early abnormalities in bearings - Early abnormalities in bearings often manifest 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 a long battery life. ■ Easy operation and diagnostics through 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 implementation consideration to aftercare.
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Applications/Examples of results
Predictive and preventive maintenance of rotating machinery such as motors, fans, blowers, and pumps, and signs of failure.
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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.
