Results 71 to 80 of about 3,273,797 (200)

Wavelet neural networks for intelligent fault diagnosis

, 2005
Wavelet neural networks (WNN) combing the properties of the wavelet transform and the advantages of Artificial Neural Networks (ANNs) have attracted great interest and become a popular tool for various fields of mathematics and engineering.
Guo QJ(郭前进), Yu HB(于海斌), Xu AD(徐皑冬)   +2 more
core  

A Quantum Q-Learning Fault Diagnosis Method for Intelligent Manufacturing Equipment

Machines
In the era of rapid industrial automation advancements, the complexity of intelligent manufacturing equipment has been steadily escalated. Stringent demands for high-efficiency and high-precision diagnosis are increasingly being unmet by conventional ...
Yi Chen, Kai Deng, Xuelin Du, Zichao Chang, Tong Wan   +4 more
doaj   +1 more source

Dissolved Gas Analysis Principle-Based Intelligent Approaches to Fault Diagnosis and Decision Making for Large Oil-Immersed Power Transformers: A Survey

Energies, 2018
Compared with conventional methods of fault diagnosis for power transformers, which have defects such as imperfect encoding and too absolute encoding boundaries, this paper systematically discusses various intelligent approaches applied in fault ...
Lefeng Cheng, Tao Yu
doaj   +1 more source

A Novel Stacked Auto Encoders Sparse Filter Rotating Component Comprehensive Diagnosis Network for Extracting Domain Invariant Features

Applied Sciences, 2020
In recent years, the method of deep learning has been widely used in the field of fault diagnosis of mechanical equipment due to its strong feature extraction and other advantages such as high efficiency, portability, and so on. However, at present, most
Rui Ding, Shunming Li, Jiantao Lu, Kun Xu, Jinrui Wang   +4 more
doaj   +1 more source

Supervised Manifold Learning Based on Multi-Feature Information Discriminative Fusion within an Adaptive Nearest Neighbor Strategy Applied to Rolling Bearing Fault Diagnosis

, 2023
Rolling bearings are a key component for ensuring the safe and smooth operation of rotating machinery and are very prone to failure. Therefore, intelligent fault diagnosis research on rolling bearings has become a crucial task in the field of mechanical ...
Zhiyuan Li, Linhu Yao, Lei Tao, Hongwei Wang, Yu Liu, Ren Hu, Di Wang, Haoran Wang   +7 more
core   +1 more source

Transformer-based intelligent fault diagnosis methods of mechanical equipment: A survey

Open Physics
Transformer is extensively employed in natural language processing, and computer vision (CV), with the self-attention structure. Due to its outstanding long-range dependency modeling and parallel computing capability, some leading researchers have ...
Wang Rongcai, Dong Enzhi, Cheng Zhonghua, Liu Zichang, Jia Xisheng   +4 more
doaj   +1 more source

Fault Diagnosis Expert System for Critical Systems and Components of “Shenhua” Electric Locomotive

Kongzhi Yu Xinxi Jishu, 2020
In view of the difficulties and poor efficiency of manual troubleshooting of locomotive faults, this paper proposed a method for correlative analyses of traction converter faults and train level faults. The method is based on a fault diagnosis model that
GAO Yongqiang
doaj  

A Hierarchical Matrix Factorization-Based Method for Intelligent Industrial Fault Diagnosis

Data-driven fault diagnosis, identifying abnormality causes using collected industrial data, is one of the challenging tasks for intelligent industry safety management. It is worth noting that practical industrial data are usually related to a mixture of
Yanxia Li, Xuemin Tan, Han Zhou, Jiajia Liu   +3 more
core   +1 more source

Intelligent fault diagnosis system for new assembly transmission

, 2012
The paper introduces an intelligent fault diagnosis system for new assembly transmission. Order analysis method is used to analysis and process vibration signal of automotive transmission.
Han ZH(韩忠华), Shi HB(史海波), Shang WL(尚文利), Zhou XF(周晓锋), Yuan J(袁杰)   +4 more
core  

Knowledge-Graph-Driven Fault Diagnosis Methods for Intelligent Production Lines

In order to enhance the management and application of fault knowledge within intelligent production lines, thereby increasing the efficiency of fault diagnosis and ensuring the stable and reliable operation of these systems, we propose a fault diagnosis ...
Chen, Yanjun, Zhang, Meizhou, Meizhou Zhang, Meng Zha, Zhou, Min, Min Zhou, Zha, Meng, Yanjun Chen   +7 more
core   +1 more source