Results 141 to 150 of about 3,273,797 (200)

Intelligent Fault Diagnosis with Deep Architecture

2020 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery (CyberC), 2020
The status judgment of converter valve equipment is an important part of ultra high voltage maintenance. However, accurate judgment of possible failures remains challenging. This paper proposes a novel multi-region deep architecture to improve abnormal judgement by considering long-range context information in increasingly finer spatial regions ...
Jinrui Gan, Peng Wu, Guoliang Zhang, Shiwen Dong, Zhaogang Han, Weiwei Liu   +5 more
openaire   +1 more source

Intelligent fault diagnosis of synchronous generators

Expert Systems with Applications, 2016
A 3?kVA generator fault model is used to diagnose faults in a 5 kVA generator.The model is trained using 3 kVA generator data and 5 kVA generator (no-fault data).System-dependent dimensions are removed using nuisance attribute projection (NAP).Classification and regression tree (CART) is used as a back-end classifier with NAP.NAP improves the ...
R. Gopinath, C. Santhosh Kumar, K. I. Ramachandran, V. Upendranath, P. V. R. Sai Kiran   +4 more
openaire   +2 more sources

Intelligent fault diagnosis for analog circuits

Proceedings of 2011 International Conference on Electronic & Mechanical Engineering and Information Technology, 2011
This paper describes the design of fault diagnosis system based on neural networks and expert system for analog circuit. This system avoids wrong output from neural networks, the other hand reduces the missed diagnosis from expert system, and simulates for analog circuit with Matlab.
Rui Chen, Zhenchao Zhou
openaire   +1 more source

Intelligent Fault Diagnosis in Nonlinear Systems

Intelligent Automation & Soft Computing, 2013
Fault diagnosis in nonlinear systems is a challenging and very active research area. One of the difficulties to detect and isolate faults in nonlinear systems via observer-based methods is the design of a residual generator. In this work an integrated procedure combining conventional decoupling methods and Fuzzy Takagi-Sugeno observers for fault ...
Efraín Alcorta-García, Salvador Saucedo-Flores, David A. Diaz-Romero   +2 more
openaire   +2 more sources

Intelligent fault diagnosis for robotic systems

11th IEEE International Conference on Control & Automation (ICCA), 2014
Robotic systems are widely used in industry. Preventive maintenance of electrical machine systems plays a very important role in the industrial life. This requires monitoring their operations on-line which can detect a fault as it occurs and diagnosing the malfunction of a faulty component. In this paper, we present a fault diagnosis method for robotic
Mingbo Xiao, Sunan Huang 0001, Qing-Chang Zhong   +2 more
openaire   +1 more source

Learning Mechanisms for Intelligent Fault Diagnosis

2006 IEEE International Conference on Systems, Man and Cybernetics, 2006
Early diagnosis of plant faults / deviations is a critical factor for optimized and safe plant operation and maintenance. Although smart controllers and diagnosis systems are available and widely used in chemical plants, however, some faults couldn't be detected.
Hossam A. Gabbar, Rizal Datu, Hideyuki Fushimi, Mohamed Kamel, Rixat Abdursul   +4 more
openaire   +1 more source

Intelligent Fault Diagnosis of the ICATS

IFAC Proceedings Volumes, 1992
Abstract In this paper, we introduce the structure and function of the inertial component automatic test system first .And then we analyse various methods which are used to dispose the system failure by the experts of the test system in detail . A fault diagnosis system of the inertial component automatic test system is founded by using the theories .
Xu Lina, Deng Zhenglong
openaire   +1 more source

Intelligent fault diagnosis of induction motor with stator winding fault

2015 11th International Conference on Natural Computation (ICNC), 2015
In this article, a fault diagnosis method is proposed for induction motor which suffers from stator winding shorted turn fault. During fault detection, rms values of the three phase currents are calculated and two currents are subtracted from each other to form the residuals.
Ming Yu 0002, Yigang He, Hai Wang 0004, Juan Xu, Danwei Wang, Viet Hung Nguyen   +5 more
openaire   +2 more sources

Remote intelligent fault diagnosis of analog circuit

2011 Seventh International Conference on Natural Computation, 2011
A remote intelligent fault diagnosis approach of analog circuit based on probabilistic neural network (PNN) and virtual instrument technology, called RPNN, is proposed. Firstly, PNN is used to classify the faults. Then, remote fault diagnosis is realized by virtual instrument technology. Simulation results illustrate that RPNN is feasible to soft fault
Qing Yang, Yuanyuan Zhu, Feng Wu
openaire   +1 more source

Intelligent Data Mining Approach for Fault Diagnosis

2008 Eighth International Conference on Intelligent Systems Design and Applications, 2008
This paper presents wavelet analysis and statistical techniques for assessing the insulation condition of power cables. A specific fault is made and placed on the terminal joint of a 25 kV power cable, and the deterioration phenomena is accelerated by the overvoltage method.
Yann-Chang Huang, Huo-Ching Sun, Yu-Hsun Lin   +2 more
openaire   +2 more sources