Title :
Bearing Fault Detect and Diagnosis Based on System Performance
Author :
Haiwei, Jin ; Haiqi, Zheng ; Yongsheng, Gao ; Jinhua, Cao
Author_Institution :
Shijiazhuang Mech. Eng. Coll., Shijiazhuang
Abstract :
The paper use time series ARMA model to seek the transfer function of gearbox system, then draw the steady state and transient state linearity frequency characteristic pattern under normal and several gear fault conditions. Through pattern compared, it can judge the sort of fault condition. The method has important applied worthiness to gearbox fault detect and diagnosis.
Keywords :
autoregressive moving average processes; fault diagnosis; gears; time series; transfer functions; ARMA model; fault detection; fault diagnosis; gearbox system; system performance; time series; transfer function; Fault detection; Fault diagnosis; Frequency; Gears; Instruments; Linearity; Steady-state; System performance; Transfer functions; Vibrations; ARMA model; gearbox; time series; transfer function;
Conference_Titel :
Electronic Measurement and Instruments, 2007. ICEMI '07. 8th International Conference on
Conference_Location :
Xi´an
Print_ISBN :
978-1-4244-1136-8
Electronic_ISBN :
978-1-4244-1136-8
DOI :
10.1109/ICEMI.2007.4351014
