A Mechanical Equipment Fault Diagnosis Model Based on TSK Fuzzy Broad Learning System
In an intelligent manufacturing context, the smooth operations of mechanical equipment in the production process of enterprises and timely fault diagnosis during operations have become increasingly important. However, the effect of traditional fault diagnosis depends on the feature extraction qualit...
Main Authors: | Xiaojia Wang, Cunjia Wang, Keyu Zhu, Xibin Zhao |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2022-12-01
|
Series: | Symmetry |
Subjects: | |
Online Access: | https://www.mdpi.com/2073-8994/15/1/83 |
Similar Items
-
A Broad TSK Fuzzy Classifier with a Simplified Set of Fuzzy Rules for Class-Imbalanced Learning
by: Jinghong Zhang, et al.
Published: (2023-10-01) -
Fuzzy Broad Learning System Combined with Feature-Engineering-Based Fault Diagnosis for Bearings
by: Jianmin Zhou, et al.
Published: (2022-12-01) -
Correlation Filter Tracking Algorithm Using TSK Fuzzy Logic System
by: CHEN Chen, GAO Yanli, DENG Zhaohong, WANG Shitong
Published: (2020-02-01) -
Robust Adaptive Tracking Control for Manipulators Based on a TSK Fuzzy Cerebellar Model Articulation Controller
by: Jiansheng Guan, et al.
Published: (2018-01-01) -
Identification of Epileptic EEG Signals Through TSK Transfer Learning Fuzzy System
by: Zhaoliang Zheng, et al.
Published: (2021-09-01)