Results 51 to 60 of about 35,178 (215)

An Online Classification Method for Fault Diagnosis of Railway Turnouts [PDF]

, 2020
Railway turnout system is a key infrastructure to railway safety and efficiency. However, it is prone to failure in the field. Therefore, many railway departments have adopted a monitoring system to monitor the operation status of turnouts.
Dongxiu Ou, Hu Liu, Lei Zhang, Yuqing Ji
core   +1 more source

Kernel Entropy-Based Classification Approach for Superbuck Converter Circuit Fault Diagnosis

IEEE Access, 2018
How to extract the fault feature and how to design the classification algorithm are the two most critical problems in power electronic circuits (PECs) fault diagnosis.
Li Wang, Feng Lyu, Yongqing Su, Jiguang Yue   +3 more
doaj   +1 more source

Imbalance Fault Classification Based on VMD Denoising and S-LDA for Variable-Speed Marine Current Turbine

Journal of Marine Science and Engineering, 2021
Marine current energy as a kind of renewable energy has gradually attracted more and more attention from many countries. However, the blade imbalance fault of marine current turbines (MCTs) will have an effect on the power production efficiency and cause
Jiajia Wei, Tao Xie, Ming Shi, Qianqian He, Tianzhen Wang, Yassine Amirat   +5 more
doaj   +1 more source

Rolling Bearing Fault Diagnosis Method Based on Fusion of CNN and CSSVM

Journal of Harbin University of Science and Technology
Aiming at the problems of low classification accuracy and weak model generalization ability of traditional fault diagnosis classification methods in the fault diagnosis of rolling bearings in rotating machinery, an intelligent fault diagnosis model based
LI Yunfeng, LAN Xiaosheng, SHEN Hongchang, XU Tongle   +3 more
doaj   +1 more source

Performance Comparison Between Deep Learning Models for Fault Classification in Transmission Lines Using Time Series Data

Energy Science & Engineering
Deep learning has become a vital tool for addressing complex challenges in power systems, particularly fault detection and classification in transmission lines. This study presents a comparative analysis of three advanced time‐series models like temporal
Nadeem Ahmed Tunio, Mohsin Ali Tunio, Muhammad Amir Raza, Muhammad Faheem, Ashfaque Ahmed Hashmani, Rumaisa Nadeem   +5 more
doaj   +1 more source

Fault Handling in Industry 4.0: Definition, Process and Applications

Sensors, 2022
The increase of productivity and decrease of production loss is an important goal for modern industry to stay economically competitive. For that, efficient fault management and quick amendment of faults in production lines are needed.
Heiko Webert, Tamara Döß, Lukas Kaupp, Stephan Simons   +3 more
doaj   +1 more source

A classification scheme of active faults in engineering

PLOS ONE
Fault displacement hazard, along with ground shaking hazard and earthquake-induced geohazard, are the primary forms of disaster in major earthquakes. Buildings located on areas of strong seismic surface displacement are likely to be damaged if anti-displacement design is not carried out.
Qingyun Zhou, Suge He, Zhenyu Zou
openaire   +3 more sources

An Imbalanced Fault Diagnosis Method Based on TFFO and CNN for Rotating Machinery [PDF]

, 2022
Deep learning-based fault diagnosis usually requires a rich supply of data, but fault samples are scarce in practice, posing a considerable challenge for existing diagnosis approaches to achieve highly accurate fault detection in real applications.
Muxu Luo, Liu, Yangyuan, Long Zhang, Luo, Muxu, Pu, Shengxin, Zhang, Long, Xiaotong Yang, Zhou, Jianmin, Jianmin Zhou, Yang, Xiaotong, Yangyuan Liu, Shengxin Pu   +11 more
core   +1 more source

Research on fault diagnosis method of aviation cable based on improved Adaboost

Advances in Mechanical Engineering, 2022
In order to solve the problems of short circuit, open circuit and insulation faults in aviation cables, a fault diagnosis method based on BP-Adaboost algorithm is proposed in this paper.
Falin Wang, Gang Yuan, Chaoyang Guo, Zhinong Li   +3 more
doaj   +1 more source

A Comparative Study of Time–Frequency Representations for Bearing and Rotating Fault Diagnosis Using Vision Transformer

Machines
This paper presents a comparative analysis of bearing and rotating component fault classification based on different time–frequency representations using vision transformer (ViT). Four different time–frequency transformation techniques—short-time Fourier
Ahmet Orhan, Nikolay Yordanov, Merve Ertarğın, Marin Zhilevski, Mikho Mikhov   +4 more
doaj   +1 more source