Abstract
The planetary gearbox is at the heart of most rotating machinery. The premature failure and subsequent downtime of a planetary gearbox not only seriously affects the reliability and safety of the entire rotating machinery but also results in severe accidents and economic losses in industrial applications. It is an important and challenging task to accurately detect failures in a planetary gearbox at an early stage to ensure the safety and reliability of the mechanical transmission system. In this paper, a novel method based on wavelet packet energy (WPE) and modulation signal bispectrum (MSB) analysis is proposed for planetary gearbox early fault diagnostics. First, the vibration signal is decomposed into different time-frequency subspaces using wavelet packet decomposition (WPD). The WPE is calculated in each time-frequency subspace. Secondly, the relatively high energy vectors are selected from a WPE matrix to obtain a reconstructed signal. The reconstructed signal is then subjected to MSB analysis to obtain the fault characteristic frequency for fault diagnosis of the planetary gearbox. The validity of the proposed method is carried out through analyzing the vibration signals of the test planetary gearbox in two fault cases. One fault is a chipped sun gear tooth and the other is an inner-race fault in the planet gear bearing. The results show that the proposed method is feasible and effective for early fault diagnosis in planetary gearboxes.
Highlights
Planetary gearboxes are widely used in wind turbines and other large machines and are an important feature of mechanical transmission systems
envelope analysis (EA) needs to choose center frequency and bandwidth for the bandpass filter in advance [13]; maximum correlated kurtosis deconvolution (MCKD) is restricted by its parameter selection, which will affect the denoising result [14]; Wigner–Viller distribution (WVD) is subjected to cross term interference [15]; and empirical mode decomposition (EMD) is often affected by boundary effects and modes mixing [16,17]
This paper proposes a new analysis method based on Wavelet Packet Energy (WPE) and modulation signal bispectrum (MSB) for planetary gearbox fault
Summary
Planetary gearboxes are widely used in wind turbines and other large machines and are an important feature of mechanical transmission systems. EA needs to choose center frequency and bandwidth for the bandpass filter in advance [13]; MCKD is restricted by its parameter selection, which will affect the denoising result [14]; WVD is subjected to cross term interference [15]; and EMD is often affected by boundary effects and modes mixing [16,17] Different from these regular analysis methods Wavelet Packet Energy (WPE) is an alternative method formed by linear combinations of usual wavelet functions [18]. A new analysis method based on WPE and MSB for planetary gearbox fault diagnosis is proposed. MSB is used to suppress the noise and demodulate the modulation components from the reconstructed signal, and extract the fault characteristic frequency for the fault diagnosis of planetary gearboxes.
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