Nearline PM
"You won't see any 'signs' unless you measure above 10kHz" - The reason bearing abnormalities manifest at high frequencies.
Did you know that abnormalities in the bearings of rotating machinery actually appear 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.
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 measurements are taken automatically and regularly, manual measurement work is not required. ■ 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 diagnosis through a dedicated app - Provides visualization of equipment status and abnormal diagnosis. ■ Technical support by our "certified vibration diagnosis professionals" - One-stop support from consideration of introduction to aftercare, compliant with ISO 18436-2 for mechanical condition monitoring diagnostic technicians (vibration).
Price information
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Model number/Brand name
Nearline PM
Applications/Examples of results
Rotating machines 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.