Axle box fault detection method and device, electronic equipment and storage medium

By acquiring and analyzing vibration and sound data of the axle box and calculating the amplitude ratio, the problem of low accuracy in judging axle box faults based on experience in the existing technology is solved, and more accurate fault detection is achieved.

CN119666368BActive Publication Date: 2026-07-24QINGDAO GAOCE TECH CO LTD
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Patent Information

Application Number
CN202311184558.5
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2023-09-13
Publication Date
2026-07-24
Estimated Expiration
2043-09-13

AI Technical Summary

Technical Problem

In the existing technology, the judgment of axle box failure relies on the operator's experience, resulting in low accuracy and difficulty in accurately identifying whether the axle box has failed.

Method used

By acquiring vibration and sound data of the axle box within the same time period, performing noise reduction processing, calculating the amplitude ratio of vibration and sound data, and comprehensively analyzing the vibration ratio set and sound ratio set, it is determined whether the axle box is in a fault state.

Benefits of technology

This improved the accuracy of axle box fault detection, reduced the impact of noise data on the detection results, and enhanced the reliability of fault detection.

✦ Generated by Eureka AI based on patent content.

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    Figure CN119666368B_ABST
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Abstract

The application relates to an axle box fault detection method and device, electronic equipment and a computer readable storage medium. The axle box fault detection method comprises the following steps: obtaining vibration data and sound data generated by vibration of an axle box to be detected in a same time period; performing noise reduction processing on the vibration data and the sound data respectively to obtain noise-reduced vibration data and noise-reduced sound data; obtaining an amplitude of each noise-reduced vibration time domain signal and a vibration amplitude ratio of a set vibration amplitude to obtain a vibration ratio set; obtaining an amplitude of each noise-reduced sound time domain signal and a sound ratio of a set sound amplitude to obtain a sound ratio set; and determining whether the axle box to be detected is in a fault state according to the vibration ratio set and the sound ratio set. Compared with the prior art, the axle box fault detection method, device, electronic equipment and computer readable storage medium provided by the application have the advantage of improving the accuracy of fault detection of the axle box.
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Citation Information

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