On-line fault diagnosis method and system for electric parameters of compressor of solar dehumidifier

By performing coordinate system transformation and fundamental wave tracking on the three-phase stator current of the solar dehumidifier compressor, and combining it with dynamic diagnostic thresholds, the problem of identifying compressor fault characteristics under direct solar photovoltaic drive was solved, and accurate fault diagnosis under non-steady-state conditions was achieved.

CN122109809APending Publication Date: 2026-05-29HUZHOU QIANJING ELECTRICAL MANUFACTURING CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
HUZHOU QIANJING ELECTRICAL MANUFACTURING CO LTD
Filing Date
2026-01-20
Publication Date
2026-05-29

AI Technical Summary

Technical Problem

Existing motor current characteristic analysis technology is difficult to accurately identify compressor faults in solar photovoltaic direct drive applications under non-steady-state variable speed and variable noise conditions, resulting in spectrum energy leakage and smearing effect, which affects fault feature extraction. Existing diagnostic systems are prone to missed or false alarms.

Method used

By performing coordinate transformation on the three-phase stator current, a time-domain dataset containing current components and solar irradiance is obtained. Fundamental wave tracking calculation is performed to obtain the instantaneous phase signal. Nonlinear mapping resampling is then performed to filter out deterministic interference components. Order spectrum analysis and feature extraction are then performed. Finally, a logical comparison of fault type and severity level is made by combining dynamic diagnostic thresholds.

Benefits of technology

It enables precise focusing of fault characteristics under varying speed and noise environments, improves the robustness of the diagnostic system, reduces misjudgments, and enhances the accuracy of fault identification.

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Abstract

The application discloses an online fault diagnosis method and system for electric parameters of a solar dehumidifier compressor, and relates to the field of intelligent fault diagnosis. Firstly, the three-phase stator current is subjected to coordinate transformation and fundamental wave tracking to obtain an instantaneous phase signal reflecting the real rotating state of the compressor in real time. The signal is used as a benchmark to perform nonlinear mapping resampling on the non-stationary time-domain current data, and convert the data into a stationary signal in the angular domain. Secondly, after filtering out the deterministic interference in the angular domain, the order spectrum is used to accurately extract weak fault features. Finally, in view of the variable noise environment introduced by photovoltaic power supply, the solar irradiance data collected synchronously is used to evaluate the noise level of the current working condition, and a dynamic diagnosis threshold changing with the ambient light is constructed. The scheme not only realizes accurate focusing of the fault features under variable speed, effectively solves the problem that the fixed threshold is easy to misjudge under the non-stationary photovoltaic working condition, and significantly improves the robustness of the diagnosis system.
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