A railway locomotive transmission system diagnosis method based on adaptive wavelet bispectrum

By using an adaptive wavelet bispectral diagnostic method combined with time-frequency rearrangement technology, the problem of frequency ambiguity in locomotive speed fluctuation conditions under traditional methods is solved, enabling the identification of transmission system fault characteristics under various operating conditions and improving the accuracy and robustness of diagnosis.

CN122149892APending Publication Date: 2026-06-05山西世恒铁路技术有限公司
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
山西世恒铁路技术有限公司
Filing Date
2026-02-05
Publication Date
2026-06-05

AI Technical Summary

Technical Problem

Traditional bispectral or wavelet bispectral analysis methods based on the assumption of stationary signals are difficult to clearly identify the fault characteristic frequencies of the transmission system under the frequency ambiguity caused by speed fluctuations in actual locomotive operation. Furthermore, instantaneous bispectral calculations are costly and cannot effectively characterize the overall coupling situation within the time period of speed fluctuations.

Method used

An adaptive wavelet bispectral diagnostic method is constructed. By adaptively selecting analysis tools and combining time-frequency rearrangement technology, the locomotive operating conditions are identified. The secondary phase coupling features of the transmission system are extracted under uniform speed, speed fluctuation and variable speed conditions. The methods include adaptive selection of classical, wavelet bispectral, synchronous compressed wavelet bispectral and instantaneous two-phase wavelet bispectral. Fault diagnosis is performed by combining the mixed entropy value of wavelet bispectral.

Benefits of technology

It enables the effective extraction of fault characteristic frequencies of transmission systems under various actual operating conditions, improves the accuracy and robustness of fault diagnosis, reduces the uncertainty of feature extraction, and provides richer fault judgment information.

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Abstract

The application discloses a locomotive transmission system diagnosis method based on adaptive wavelet bispectrum, and relates to the technical field of locomotive transmission system diagnosis. The application comprises the following steps: continuously collecting current signals of a locomotive traction motor; performing time-frequency conversion on the current signals, obtaining time-frequency distribution of the signals, and extracting time-frequency ridge lines from the time-frequency distribution; based on the time-frequency ridge lines, calculating the change rate of the dominant frequency in the current signals, and identifying the current operation condition of the locomotive according to the change rate; according to the identified operation condition, processing the current signals to extract the secondary phase coupling features associated with faults in the current signals; and determining the fault type and / or fault position of the locomotive transmission system. The application can relatively effectively extract the secondary phase coupling features caused by transmission system faults under various actual operation conditions by constructing a diagnosis framework that adaptively selects analysis tools according to the signal frequency change rate and introducing time-frequency rearrangement technology to suppress frequency ambiguity.
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