DocumentCode
1732091
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
fYear
2007
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;
fLanguage
English
Publisher
ieee
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
Type
conf
DOI
10.1109/ICEMI.2007.4351014
Filename
4351014
Link To Document