Electromechanical equipment operation anomaly detection method based on multi-dimensional vibration spectrum feature analysis

By using a segmented elastic frequency band alignment method based on operating condition indexing and speed-driven operation, combined with multi-dimensional spectral structure hierarchical modeling and cross-measurement point spectral element correlation diagram, the problem of spectral alignment of electromechanical equipment under multiple operating conditions and speed fluctuations is solved, achieving higher precision anomaly detection and fault identification.

CN122084096BActive Publication Date: 2026-07-03SHANDONG JIN ZHICHENG CONSTR CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
SHANDONG JIN ZHICHENG CONSTR CO LTD
Filing Date
2026-04-23
Publication Date
2026-07-03

AI Technical Summary

Technical Problem

Existing methods for detecting vibration anomalies in electromechanical equipment are difficult to align with the spectral structure under multiple operating conditions and speed fluctuations, resulting in insufficient accuracy and robustness in anomaly identification. Furthermore, they lack cross-measurement point correlation modeling, making it impossible to characterize the anomaly propagation path and evolution law.

Method used

A segmented elastic frequency band alignment method based on operating condition indexing and speed drive is adopted to construct a multi-dimensional spectral structure hierarchical representation. Through three-track spectral elements cross-measurement point joint feature modeling, spectrum alignment and cross-measurement point correlation are realized, and abnormal propagation features are extracted.

Benefits of technology

It improves the stability and consistency of anomaly detection, enhances the ability to identify and locate complex fault types, and significantly improves the precision of anomaly diagnosis for electromechanical equipment.

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Abstract

This invention discloses a method and system for detecting operational anomalies in electromechanical equipment based on multidimensional vibration spectrum feature analysis, belonging to the field of electromechanical equipment condition monitoring technology. This method performs layered modeling of the spectrum based on its spectral structure characteristics, extracting harmonic structure features, sideband cluster features, and impact residual features to construct multidimensional spectral structure characterization data. The spectral structure features are object-orientedly encapsulated into spectral elements, and combined with the spatial location of measurement points and the consistency of frequency band response, a cross-measurement point spectral element correlation diagram is constructed to extract anomaly propagation features. Finally, anomaly determination and location analysis are performed on the operating status of the electromechanical equipment. This invention can achieve unified expression and structured analysis of spectral features under complex operating conditions, improving the accuracy and stability of anomaly detection and enhancing the ability to characterize anomaly propagation paths, thus possessing significant engineering application value.
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