Feature extraction of weak fault based on analysis of fractional energy gathering band
Mei Jian-min1, 2, Xiao Yun-kui1, Zeng Ruili1, Li Feng1, Ren Jin-cheng1
1. Department of Guns Engineering, Ordnance Engineering College, Shijiazhuang 050003, China; 2. Department of Automobile Engineering, Military Transportation University, Tianjin 300161, China
Abstract：A fractional energy gathering band’s time-frequency aggregated spectrum (FETFAS) is proposed to achieve the fast time-frequency analysis of long data and extrude target component, and applied to extract the weak fault feature of rapid accelerating process of gearbox; the best order of Fractional Fourier Transform (FRFT) is ascertained according to the rotating speed signal and transmission ratio, and the vibration signal of accelerating process of gearbox is processed by FRFT of best order, the energy gathering band is fixed from modulus spectrum of FRFT, then the FETFAS is computed. The FETFAS and order spectrums of many groups normal and fault signal are compared to identify the effectiveness of FETFAS. The experimental results show that the method to ascertain the FRFT’s best order by rotating speed signal is fast and exact; the time-frequency analysis of FRFT’s result in EGB has less computing amount and high resolution; FETFAS has the character of focusing and zooming, and is able to extrude the target component and restrain noise very well, so it is an effective method to extract weak fault feature from the signal of rapid accelerating process.
梅检民;肖云魁;曾锐利;李枫;任金成. 基于分数阶聚能带分析的微弱故障特征提取研究[J]. , 2013, 32(17): 138-144.
Mei Jian-min;;Xiao Yun-kui;Zeng Ruili;Li Feng;Ren Jin-cheng. Feature extraction of weak fault based on analysis of fractional energy gathering band . , 2013, 32(17): 138-144.
2013, Vol. 32 
