Fault Feature Extraction of Gear Pitting based on AR-MCKD
Taking the measured gearbox vibration signals as the analysis object,the fault feature of gear pitting is extracted. The Akaike Information Ceriterion( AIC) is applied to evaluate the optimum Auto- regressive( AR) model order,and then this AR model is used to pre- process the vibration signals to el...
Main Authors: | Lü Hongqiang, Wu Zhifei, Wang Tie, Gu Fengshou |
---|---|
Format: | Article |
Language: | zho |
Published: |
Editorial Office of Journal of Mechanical Transmission
2017-01-01
|
Series: | Jixie chuandong |
Subjects: | |
Online Access: | http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2017.03.022 |
Similar Items
-
Early Fault Extraction of Rolling Bearing based on LMD and MCKD
by: Wang Jianguo, et al.
Published: (2018-01-01) -
PSO-MCKD-MFFResnet based fault diagnosis algorithm for hydropower units
by: Xu Li, et al.
Published: (2023-06-01) -
FAULT FEATURE EXTRACTION OF ROLLING ELEMENT BEARINGS BASED ON ADAPTIVE MCKD
by: CHEN BingYan, et al.
Published: (2020-01-01) -
INCIPIENT FAULT DIAGNOSIS OF RUBBER REFINER GEARBOX BASED ON MAXIMUM CORRELATED KURTOSIS DECONVOLUTION
by: LENG JunFa, et al.
Published: (2016-01-01) -
Compound Fault Feature Extraction of Rolling Bearing Acoustic Signals Based on AVMD-IMVO-MCKD
by: Shishuai Wu, et al.
Published: (2022-09-01)