Gear transmission system vibration signal immediate dense component decomposition system and method

By using a fault feature order library, envelope signal generation, and arbitrary order harmonic decomposition, combined with redundant Fourier series and optimization algorithms, the problem of decomposing adjacent dense components of vibration signals in gear transmission systems was solved, achieving efficient fault feature extraction and monitoring under non-stationary operating conditions.

CN118503676BActive Publication Date: 2026-06-16SHANGHAI JIAOTONG UNIV
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
SHANGHAI JIAOTONG UNIV
Filing Date
2024-05-09
Publication Date
2026-06-16

AI Technical Summary

⚠Technical Problem

Vibration signals from gear transmission systems are complex, containing multiple sources and components that are prone to aliasing. Traditional methods struggle to accurately decompose fault characteristics under non-stationary conditions, and adaptive algorithms suffer from high time complexity, making real-time computation difficult.

⚗Method used

By employing fault feature order library units, envelope signal generation units, arbitrary order harmonic decomposition units, and monitoring index construction units, and combining knowledge of gear dynamics and kinematics, adjacent dense components are extracted through redundant Fourier series and optimization algorithms to construct health monitoring indicators.

🎯Benefits of technology

Accurately extract adjacent signal components under strong time-varying operating conditions and noise conditions, construct stable monitoring indicators, improve fault diagnosis accuracy, adapt to non-stationary signal decomposition, and reduce computational costs.

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Abstract

The application discloses a gear transmission system vibration signal immediate dense fault characteristic component decomposition system and method, comprising: a fault characteristic order library unit, an envelope signal generation unit, an arbitrary order harmonic decomposition unit and a monitoring index construction unit, wherein: the fault characteristic order library unit calculates the fault characteristic order of the measured vibration signal by using the existing gear dynamics and kinematics knowledge; the envelope signal generation unit carries out time-varying filtering on the signal components near the instantaneous meshing frequency on the time-frequency surface of the measured vibration signal, and calculates the modulation component of the instantaneous meshing frequency component; the arbitrary order harmonic decomposition unit determines the instantaneous frequency of each fault characteristic component according to the input shaft speed and the fault characteristic order, and obtains the time domain waveform of each fault characteristic component by using an optimization algorithm to jointly solve all positioned fault characteristic components; and the monitoring index construction unit constructs a targeted health index according to the time domain waveform of the fault characteristic component, which is used for state monitoring of the transmission system. Under the conditions of strong time-varying working conditions and strong noise, the application can accurately extract multiple signal components adjacent to each other on the time-frequency surface and generate a monitoring index used for state monitoring of the gear transmission system at a low calculation cost.
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