Abstract
Planetary gear transmission system is an important transmission part of large machinery and is prone to failure. Aiming at the problem of how to extract fault information from vibration signals of nonlinear and nonstationary planetary gearboxes, a performance degradation evaluation index of planetary gearboxes based on improved distributed compressed sensing and modified multiscale symbolic dynamic entropy (DCSMDE) is proposed. DCSMDE combines distributed compression sensing with modified multiscale symbol dynamic entropy and solves the problem of strong nonlinearity and strong vibration signal coupling of the planetary transmission system from the homologous signals of multiple sensors. A distributed compression sensing parameter optimization algorithm based on Rényi entropy is proposed, which uses improved distributed compression sensing technology to simultaneously sample, compress, and denoise the multisource vibration data of rotating machinery. DCSMDE is used to calculate the reconstructed signal, extract the features with higher recognition characteristics, and use the change trend of the DCSMDE value to judge the working status of the planetary gearbox. Experimental results show that DCSMDE can be applied to dynamic evolution and fault identification of mechanical systems and accurately classify actual fault signals. It provides a new idea for the classification of planetary gear faults and the recognition of performance degradation.
Highlights
Planetary gear transmission systems have many advantages such as high transmission ratios and high transmission efficiency. ey are widely used in wind power equipment, military equipment, heavy-duty vehicles, and large mechanical equipment
Data Preprocessing. e purpose of this paper is to explore whether the distributed compressed sensing and the improved multiscale symbolic dynamic entropy model are suitable for the expected fault types
To solve the problem that the vibration signal of planetary gearbox generally has a lot of noise and it is difficult to obtain characteristic information, a new degradation feature evaluation index of planetary gearbox based on DCSMDE is proposed. rough the analysis of the fault signals of missing teeth, broken teeth, wear, and cracks of planetary gearbox, the effectiveness of this degradation index in condition monitoring is verified. e conclusions are as follows: (1) Combine distributed compressed sensing with MMSDE to form a new evaluation index for planetary gear degradation characteristics
Summary
Planetary gear transmission systems have many advantages such as high transmission ratios and high transmission efficiency. ey are widely used in wind power equipment, military equipment, heavy-duty vehicles, and large mechanical equipment. DCSMDE combines distributed compressed sensing with improved multiscale symbol dynamic entropy and uses improved distributed compressed sensing technology to synchronously sample, compress, and reduce noise from multisource vibration data of rotating machinery and perform MMSDE calculations on the denoised signal. Rough nonlinear joint reconstruction, the processed signal is sparse and robust at the same time, avoiding the redundancy of collected information It can realize synchronous sampling, compression, and noise reduction of multiple data at each sensor node. An evaluation index for the degradation characteristics of planetary gearboxes based on distributed compressed sensing and improved multiscale symbol dynamic entropy is proposed. E chapters of this paper are arranged as follows: In Section 2, a planetary gear transmission degradation characteristic evaluation index DCSMDE is proposed, and the basic principles and detailed steps of the method are introduced.
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