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Inspection using a portable vibration meter for railways.

Enhancing the efficiency of inspections to support the safe operation of railways.

In the railway industry, it is important to detect abnormal sounds and vibrations early to maintain safe operations. There is a risk of rail damage and vehicle failures caused by vibrations and wear. To prevent these issues before they occur, pre-departure inspections, regular checks, and accurate data collection are essential. Our portable vibration meter measures vibrations while maintaining a constant pressure, allowing for accurate data acquisition through inverter noise processing. 【Usage Scenarios】 - Detection of rail abnormalities - Measurement of vehicle vibrations - Vibration trend management 【Benefits of Implementation】 - Accident prevention through early detection of abnormalities - Increased efficiency of inspection work - Reduction of maintenance costs

There is also a wireless type.

basic information

【Features】 - Excellent operability with compact lightweight design and user-friendly interface - IC-TAG reader/writer function streamlines work - Easy measurement of natural vibrations - Capable of noise processing for inverter motors 【Our Strengths】 Asahi Kasei Engineering Corporation conducts design, procurement, and construction (EPC) with maintenance in mind, and proposes appropriate maintenance based on design data. Additionally, we can propose information systems that not only focus on maintenance but also consider production efficiency and reduction of production losses. In maintenance, we are developing equipment diagnostic tools that utilize digital technology.

Price range

Delivery Time

Model number/Brand name

MD-330

Applications/Examples of results

For more details, please download the PDF or feel free to contact us.

"V-MO" dedicated monitoring service for marine motors.

PRODUCT

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Distributors

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.