Feature extraction and fault diagnosis of gearbox based on ICEEMDAN, MPE, RF and SVM

Feature extraction and fault diagnosis of gearbox based on ICEEMDAN, MPE, RF and SVM

To solve the challenges related to non-stationary vibration signals in gearboxes, i.e. difficult feature extraction, high redundancy of feature vectors and low fault identification rate, this paper proposed a method of feature extraction and fault diagnosis of gearboxes based on the improved complet...

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Bibliographic Details
Main Authors: DING Xiaofeng, ZHANG Yuhua
Format: Article
Language:zho
Published: Editorial Department of Electric Drive for Locomotives 2023-01-01
Series:机车电传动
Subjects:
gearbox
improved complete ensemble empirical mode decomposition with adaptive noise (ICEEMDAN)
multi-scale permutation entropy (MPE)
random forest (RF)
support vector machine (SVM)
feature extraction
fault diagnosis
Online Access:http://edl.csrzic.com/thesisDetails#10.13890/j.issn.1000-128X.2023.01.006
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