Research on FPGA filtering method of Gearbox fault signal

2nd International Symposium on Application of Materials Science and Energy Materials

材料科学;能源学

Cheng, Xiaolong^1 ; Yang, Xiufang^1 ; Chen, Zhuo^1

School of Mechanical and Precision Instrument Engineering, Xi'An University of Technology, Xian, China^1

关键词: Fault feature extractions;    Frequency domains;    Gearbox vibration signal;    Mechanical equipment;    Mechanical fault diagnosis;    Mechanical vibration signals;    Practical problems;    Status informations;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/490/5/052024/pdf
DOI  :  10.1088/1757-899X/490/5/052024

学科分类：材料科学（综合）

来源: IOP

【 摘 要 】

Gearboxes are an important part of marine machinery and equipment such as steam turbines and generators. Under normal circumstances, the performance of the gearbox directly affects whether the relevant mechanical equipment can normally work, so it is very important to detect and eliminate the gearbox failure. The gearbox vibration signal contains a wealth of working status information, and the use of gearbox vibration signal diagnosis is a common method. Since the vibration signal contains strong noise, denoising is the primary task of fault feature extraction. Aiming at this practical problem, in this paper, a denoising filter based on FPGA environment is designed. This filter is used to process the simulated gear fault signal with a signal-to-noise ratio (SNR) of 0.1206. By comparing the time domain diagram and frequency domain diagram before and after processing, the feasibility of using FPGA to realize the mechanical vibration signal processing is verified. This is of great practical significance to the miniaturization and real-time of the mechanical fault diagnosis system.