Early damage detection brought about by high-frequency band vibration measurement. Verification based on actual measurements.
Did you know that abnormalities in the bearings of rotating machinery actually appear most quickly in the high-frequency range above 10 kHz?
Many equipment troubles are influenced by how quickly initial damage to bearings can be detected. This document explains why high-frequency measurements above 10 kHz can advance the detection of signs by "months." In the latter part, we will also introduce key points for selecting equipment to reliably capture high frequencies on-site.
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-continuous monitoring - Since it measures automatically at regular intervals, measurement work is not required. ■ Can be retrofitted, ideal for small-scale starts - Easy retrofitting allows for reduced implementation 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 diagnosis. ■ Technical support from our "Certified Vibration Diagnosis Specialists" - One-stop support from consideration of implementation to aftercare.
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Applications/Examples of results
Predictive and preemptive maintenance of rotating machinery such as motors, fans, pumps, and blowers. Planned maintenance.
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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.