Title :
System state estimation in health assessment of gearbox
Author :
Chen, Hanxin ; Zhou, Yong
Author_Institution :
Sch. of Mech. & Electr. Eng., Wuhan Inst. of Technolog, Wuhan, China
Abstract :
A novel methodology on the gear crack fault detection based on particle filter and Weighted Sum Squared Residual (WSSR) is proposed in this paper. The kurtosis index of the vibration signal from the acceleration sensors mounted on the gearbox along the vertical direction is calculated. The state space model is established. The particle filter is applied to estimate the state value of the system. The algorithm of the fault detection of the gearbox based on WSSR is developed to detect the levels of the gear crack. The results show the applicability and the effectiveness of the proposed method.
Keywords :
acceleration; condition monitoring; crack detection; fault diagnosis; gears; particle filtering (numerical methods); sensors; vibrations; WSSR; acceleration sensors; gear crack fault detection; gearbox; health assessment; kurtosis index; particle filter; state space model; system state estimation; vibration signal; weighted sum squared residual; Equations; Fault detection; Gears; Mathematical model; Noise; Particle filters; Vibrations; Fault degradation; Particle Filter; State estimation; Weighted Sum Squared Residual (WSSR);
Conference_Titel :
Electric Information and Control Engineering (ICEICE), 2011 International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-8036-4
DOI :
10.1109/ICEICE.2011.5778360
