Is ISO standards alone insufficient? New common sense in anomaly detection opened up by high-frequency measurements.
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Many equipment troubles depend on how quickly initial damage to bearings can be detected.
This document presents actual measurement data showing that bearing damage progresses from high frequency to medium frequency to low frequency, while organizing the differences in diagnostic accuracy brought about by high frequency measurements.
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basic information
■ Wireless vibration sensor that requires no wiring - It uses a battery-operated wireless sensor, eliminating the need for wiring work. ■ Automatic measurement once a day with a standard cycle allows for near-continuous monitoring operation (measurement frequency can be set as desired) - Regular automatic measurements eliminate the need for manual measurement work. ■ Can be retrofitted, making it ideal for a small start - Easy retrofitting allows for reduced implementation costs. ■ High-frequency response (17kHz) detects initial abnormalities in bearings - Since initial abnormalities in bearings often appear in the high-frequency range, 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 through a dedicated app - Provides visualization of equipment status and abnormal diagnosis. ■ Technical support from our "qualified vibration diagnosis specialists" * Compliant with ISO18436-2, Machinery Condition Monitoring Diagnostic Technicians (Vibration) - We provide one-stop support from consideration of implementation to aftercare.
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Applications/Examples of results
Failure prediction and preventive maintenance of rotating machinery such as motors, fans, pumps, and blowers. Daily and regular inspections.
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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.
