Abstract
This paper focuses on solving a series of problems, in particular, the extraction of planetary gear fault characteristics for cracked and broken teeth, using the frequency domain information exchange method. First, we discuss deficiencies in classical stochastic resonance fault feature extraction method. A number of issues are associated with adaptive stochastic resonance based on the re-scaling frequency method used during the small parameter issues, such as sampling frequency ratio constraints and easily induced aliasing of the target frequency band. Second, to overcome the above-mentioned problems, this paper proposes a frequency domain information exchange optimization method. Simulations were carried out used the proposed method and results were compared to those obtained using previously presented adaptive stochastic resonance based on the re-scaling frequency method. Finally, tests were performed on an experimental planetary gearbox failure platform to further verify the frequency domain information exchange method for effectively extracting planetary gear crack and missing tooth fault features.
Highlights
Planetary gearbox faults cause changes in the position of gears and sensors during operation resulting in signal modulation
Compared to existing methods, such as adaptive stochastic resonance (SR) based on re-scaling frequency (RF-ASR), the proposed method was shown to be more effective in planetary gearbox fault diagnosis
An adaptive SR method based on frequency information exchange (FIE) was studied and applied to fault signal processing and weak feature extraction of planetary gears
Summary
Planetary gearbox faults cause changes in the position of gears and sensors during operation resulting in signal modulation. It is difficult to extract the fault characteristics of planetary gearboxes, in particular, faint features such as the weak signals indicating the early stages of a gear faults. This makes early fault diagnosis extremely difficult [1]. An improved SR method better suited to the complex spectra and rich harmonic components of planetary gearboxes is needed To address these issues, a method based on frequency information exchange and adaptive SR (FIE-ASR) is proposed and used for planetary gear fault signal processing and feature extraction. Compared to existing methods, such as adaptive SR based on re-scaling frequency (RF-ASR), the proposed method was shown to be more effective in planetary gearbox fault diagnosis
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