The identification of gearbox vibration using the meshing impacts based demodulation technique. (24th November 2019)

• Record Type: Journal Article
• Authors: Tong, Shuiguang; Huang, Yuanyuan; Jiang, Yongqing; Weng, Yanxiang; Tong, Zheming; Tang, Ning; Cong, Feiyun
• Is Part Of: Journal of sound and vibration. Volume 461(2019)
• Publication Date: 2019-11-24
• Subjects: Gearbox -- Meshing impacts -- Multi-Input Single-Output (MISO) model -- Meshing Impact Energy Distribution (MIED) graph -- Forklift; Sound -- Periodicals; Vibration -- Periodicals; Son -- Périodiques; Vibration -- Périodiques; Sound; Vibration; Periodicals; Electronic journals; 620.205
• DOI: 10.1016/j.jsv.2019.114879
• Languages: English
• ISSNs: 0022-460X

Abstract

Abstract: Gearboxes are at the heart of most rotating machines and they are considered as one of the main sources of vibration. As a key element in rotating machines, it is important to extract the gearbox vibration part from the mechanical system signal to assess the health state of the gearbox. In general, the gear meshing frequency part contains rich information which reflects its health state. In this paper, the authors find that in some cases when gearboxes work under heavy load, the meshing frequency part cannot be detected easily from the frequency spectrum. We think that the meshing frequency part may be modulated to the higher frequency band as the meshing impacts. To prove this point, a Multi-Input Single-Output (MISO) model is proposed to identify the local resonance excited by gear meshing impacts. In our method, a Meshing Impact Energy Distribution (MIED) graph is obtained through iteration to determine the demodulated frequency band. Experimental vibration data acquired form a healthy gearbox are illustrated to validate the performance of the proposed method. The forklift is taken as an example in the paper. Forklifts usually work in heavy load condition, and the gearbox vibration of a forklift is generally mixed with the ignition impacts of the diesel engine. The experiment result shows that for forklift machine system working in heavy load condition, its meshing frequency part of gearbox vibration signal is modulated into high frequency band. Further, the result shows that the proposed method is good at extracting the meshing frequency component when it is modulated into high frequency band especially when it is in heavy load condition.