Methods, apparatus, equipment and storage media for generating order spectra

By employing a time-frequency analysis method based on angular domain resampling and target window function optimization, the problem of unstable quality of order spectra under variable speed conditions is solved, generating high-quality order spectra and enabling accurate diagnosis of rotating machinery faults.

CN122309900APending Publication Date: 2026-06-30BEIJING ZHONGKE DONGREN TECH CO LTD

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
BEIJING ZHONGKE DONGREN TECH CO LTD
Filing Date
2026-03-31
Publication Date
2026-06-30

AI Technical Summary

Technical Problem

Existing technologies are prone to energy smearing in order spectra generated under variable speed conditions, resulting in unstable quality. Furthermore, the selection of window length relies on experience and lacks stability, making it difficult to achieve accurate fault diagnosis of rotating machinery.

Method used

The time-domain signal is converted into an angular-domain signal by angular domain resampling. The window length is determined based on the equivalent noise bandwidth of the target window function and the target order resolution. Time-frequency analysis is performed to generate an order spectrum with rotational speed and order as the horizontal and vertical axes, thereby eliminating the influence of rotational speed changes and improving the spectrum quality.

Benefits of technology

The generated order spectrum has significantly improved clarity and stability, enabling accurate diagnosis of rotating machinery faults, reducing reliance on empirical window length selection, and ensuring the stability of order resolution and high-quality spectrum.

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Abstract

This application discloses a method, apparatus, device, and storage medium for generating order spectra, belonging to the field of fault diagnosis for rotating machinery. Under variable speed conditions, this application can generate high-quality order spectra. Specifically, this application converts the time-domain signal into an angular-domain signal through angular-domain resampling, and then performs time-frequency analysis on the angular-domain signal. This processing eliminates the influence of speed variations on order analysis. After time-frequency analysis of the angular-domain signal, a high-quality order spectra can be generated without energy smearing, facilitating fault diagnosis of rotating machinery by engineers. Furthermore, this application no longer relies on experience to select the window length, but determines the window length based on the equivalent noise bandwidth of the window function and the target order resolution. Because the method of determining the window length is more reasonable, the generated order spectra have higher quality stability.
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