Incipient fault diagnosis of large scale wind turbine gearbox based on chaos theory and sampling integral technology
SUN Zi-qiang1， CHEN Chang-zheng1， GU Yan-ling1， LIU Huan1，2
1.School of Mechanical Engineering, Shenyang University of Technology, Shenyang 110870，China;2. School of Information Engineering, Shenyang University of Chemical Technology, Shenyang 110142，China
Abstract：Vibration signals recognition for incipient faults of large scale wind turbine gearbox is difficult because the signals with low SNR are polluted and modulated by background noise. According to the characters of the gearbox vibration signals, the method based on chaos theory and integral technology is presented to detect its incipient fault signals of gearbox. Sampling integral technology is applied to improve the tracking ability of fault signals with lower SNR. The state of sidebands of meshing frequency and its third harmonic signals can be confirmed by the change of chaotic phase and its lyapunov exponents, and then the incipient faults can be diagnosis. The experimental results on 1.5WM wind turbines gearboxes in a wind field justify the method is effective.
孙自强;陈长征;谷艳玲;刘 欢;. 基于混沌和取样积分技术的大型风电增速箱早期故障诊断[J]. , 2013, 32(9): 113-117.
SUN Zi-qiang;CHEN Chang-zheng;GU Yan-ling;LIU Huan;. Incipient fault diagnosis of large scale wind turbine gearbox based on chaos theory and sampling integral technology. , 2013, 32(9): 113-117.
2013, Vol. 32 
