Application of higher order spectral features and support vector machines for bearing faults classification.
about
Online Condition Monitoring of Bearings to Support Total Productive Maintenance in the Packaging Materials IndustryFault Diagnosis for Rotating Machinery: A Method based on Image Processing.A Novel Characteristic Frequency Bands Extraction Method for Automatic Bearing Fault Diagnosis Based on Hilbert Huang TransformA Novel Bearing Multi-Fault Diagnosis Approach Based on Weighted Permutation Entropy and an Improved SVM Ensemble Classifier.A Fault Diagnosis Method for Rolling Bearings Based on Feature Fusion of Multifractal Detrended Fluctuation Analysis and Alpha Stable Distribution
P2860
Application of higher order spectral features and support vector machines for bearing faults classification.
description
2014 nî lūn-bûn
@nan
2014年の論文
@ja
2014年学术文章
@wuu
2014年学术文章
@zh
2014年学术文章
@zh-cn
2014年学术文章
@zh-hans
2014年学术文章
@zh-my
2014年学术文章
@zh-sg
2014年學術文章
@yue
2014年學術文章
@zh-hant
name
Application of higher order sp ...... bearing faults classification.
@en
Application of higher order sp ...... bearing faults classification.
@nl
type
label
Application of higher order sp ...... bearing faults classification.
@en
Application of higher order sp ...... bearing faults classification.
@nl
prefLabel
Application of higher order sp ...... bearing faults classification.
@en
Application of higher order sp ...... bearing faults classification.
@nl
P1433
P1476
Application of higher order sp ...... bearing faults classification.
@en
P2093
Farhat Fnaiech
Lotfi Saidi
P304
P356
10.1016/J.ISATRA.2014.08.007
P577
2014-10-03T00:00:00Z