Results 61 to 70 of about 3,273,797 (200)

Signal-Based Intelligent Hydraulic Fault Diagnosis Methods: Review and Prospects

Chinese Journal of Mechanical Engineering, 2019
Hydraulic systems have the characteristics of strong fault concealment, powerful nonlinear time-varying signals, and a complex vibration transmission mechanism; hence, diagnosis of these systems is a challenge.
Juying Dai, Jian Tang, Shuzhan Huang, Yangyang Wang   +3 more
doaj   +1 more source

Experimental investigation and deployment analysis of data-driven fault diagnosis methods for metro vehicles

Journal of Engineering and Applied Science
The revised abstract is as follows: In recent years, intelligent operation and maintenance systems, including fault diagnosis and prognosis, health management, and maintenance management systems, have been increasingly deployed in newly constructed and ...
Xichun Luo, Jianlin Mao, Tao Liu, Zifang Sun   +3 more
doaj   +1 more source

Machine fault diagnosis and condition prognosis using classification and regression trees and neuro-fuzzy inference systems [PDF]

, 2010
This paper presents an approach to machine fault diagnosis and condition prognosis based on classification and regression tress (CART) and neuro-fuzzy inference systems (ANFIS).
Yang, Bo-Suk, Yang, B. S., Tran, Van Tung, Tran, V. T.   +3 more
core   +2 more sources

A Novel Ensemble Fault Diagnosis Model for Main Circulation Pumps of Converter Valves in VSC-HVDC Transmission Systems

, 2023
The intelligent fault diagnosis of main circulation pumps is crucial for ensuring their safe and stable operation. However, limited research has been conducted on this topic, and applying existing fault diagnosis methods designed for other equipment may ...
Kaipei Liu, Zheng Wei, Yong Yang, Jiangjun Ruan, Xiaole Wang, Liang Qin, Jing Wang, Xu Tang, Jialong Wang, Sihan Zhou   +9 more
core   +1 more source

Imbalanced data fault diagnosis method for nuclear power plants based on convolutional variational autoencoding Wasserstein generative adversarial network and random forest

Nuclear Engineering and Technology
Data-driven fault diagnosis techniques are significant for the stable operation of nuclear power plants (NPPs). However, in practical applications, the fault diagnosis of NPPs usually faces imbalance data problems with small fault samples and much ...
Jun Guo, Yulong Wang, Xiang Sun, Shiqiao Liu, Baigang Du   +4 more
doaj   +1 more source

Deep Decoupling Convolutional Neural Network for Intelligent Compound Fault Diagnosis

IEEE Access, 2019
Intelligent compound fault diagnosis of rotating machinery plays a crucial role for the security, high-efficiency, and reliability of modern manufacture machines, but identifying and decoupling the compound fault are still a great challenge.
Ruyi Huang, Yixiao Liao, Shaohui Zhang, Weihua Li   +3 more
doaj   +1 more source

A Deep Multi-Label Learning Framework for the Intelligent Fault Diagnosis of Machines

IEEE Access, 2020
Deep learning has been applied in intelligent fault diagnosis of machines since it trains deep neural networks to simultaneously learn features and recognize faults.
Jianjun Shen, Shihao Li, Feng Jia, Hao Zuo, Junxing Ma   +4 more
doaj   +1 more source

Computational Intelligence in Fault Diagnosis

, 2006
This book presents the most recent concerns and research results in industrial fault diagnosis using intelligent techniques. It focuses on computational intelligence applications to fault diagnosis with real-world applications used in different chapters to validate the different diagnosis methods.
openaire   +2 more sources

A desktop environment for assessment of fault diagnosis based fault tolerant flight control laws [PDF]

, 2008
We present a simulation based software environment conceived to allow an easy assessment of fault diagnosis based fault tolerant control techniques. The new tool is primary intended for the development of advanced flight control applications with fault ...
Gertjan Looye, Looye, Gertjan, Andras Varga, Varga, Andreas, Simon Hecker, Hecker, Simon   +5 more
core   +1 more source

An Intelligent Machinery Fault Diagnosis Method Based on GAN and Transfer Learning under Variable Working Conditions

, 2022
Intelligent fault diagnosis is of great significance to guarantee the safe operation of mechanical equipment. However, the widely used diagnosis models rely on sufficient independent and homogeneously distributed monitoring data to train the model.
Jing Chen, Liu, Xuan, Wangpeng He, Yue Zhou, He, Wangpeng, Chen, Binqiang, Baolong Guo, Xuan Liu, Binqiang Chen, Guo, Baolong, Zhou, Yue, Chen, Jing   +11 more
core   +1 more source