Full-Vector Signal Acquisition and Information Fusion for the Fault Prediction
Fault prediction is the key technology of the predictive maintenance. Currently, researches on fault prediction are mainly focused on the evaluation of the intensities of the failure and the remaining life of the machine. There is lack of methods on the prediction of fault locations and fault charac...
Saved in:
Main Authors: | Lei Chen, Jie Han, Wenping Lei, Yongxiang Cui, Zhenhong Guan |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2016-01-01
|
Series: | International Journal of Rotating Machinery |
Online Access: | http://dx.doi.org/10.1155/2016/5980802 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Resnet-1DCNN-REA bearing fault diagnosis method based on multi-source and multi-modal information fusion
by: Xu Chen, et al.
Published: (2024-11-01) -
An SDP Characteristic Information Fusion-Based CNN Vibration Fault Diagnosis Method
by: Xiaoxun Zhu, et al.
Published: (2019-01-01) -
Influence of Image Acquisition on Radiation Dose and Image Quality: Full versus Narrow Phase Window Acquisition Using 320 MDCT
by: Faisal Khosa, et al.
Published: (2013-01-01) -
Fault Diagnosis of Intershaft Bearings Using Fusion Information Exergy Distance Method
by: Jing Tian, et al.
Published: (2018-01-01) -
The quality of experience–oriented personal message acquisition optimization for intelligent apparatus in space information networks
by: Changhua Yao, et al.
Published: (2018-05-01)