To solve this problem, this paper presents a new classifier: multiclass self-adaptive support vector classifier (MSa-SVC). Firstly, self- ...

Sep 1, 2018 · To solve this problem, this paper presents a new classifier: multiclass self-adaptive support vector classifier (MSa-SVC). Firstly, self- ...

A new classifier: multiclass self-adaptive support vector classifier (MSa-SVC) that is created by combination of SVC and information geometry and applied on ...

To solve this problem, this paper presents a new classifier: multiclass self-adaptive support vector classifier (MSa-SVC). Firstly, self-adaptive SVC is created ...

To solve this problem, this paper presents a new classifier: multiclass self-adaptive support vector classifier (MSa-SVC). Firstly, self-adaptive SVC is created ...

A rolling bearing fault diagnosis method based on the entropy fusion feature of complementary ensemble empirical mode decomposition (CEEMD) is proposed

This paper presents a novel feature extraction algorithm based on MPE and ISVM-BT for rolling bearing fault diagnosis.

Bearing Fault Diagnosis Using Multiclass Self-Adaptive Support Vector Classifiers Based on CEEMD–SVD. Article 03 January 2018. Keywords. Support Vector Machine ...

Bearing Fault Diagnosis Using Multiclass Self-Adaptive Support Vector Classifiers Based on CEEMD---SVD. Bearing fault diagnosis under variable conditions has ...

Aug 11, 2019 · Bearing fault diagnosis using multiclass self-adaptive support vector classifiers based on ceemd–svd. Wirel. Pers. Commun.doi:10.1007/s11277 ...