Results 211 to 220 of about 7,478 (267)
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Learning Mechanisms for Intelligent Fault Diagnosis
2006 IEEE International Conference on Systems, Man and Cybernetics, 2006Early 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 +4 more
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Intelligent fault diagnosis for robotic systems
11th IEEE International Conference on Control & Automation (ICCA), 2014Robotic 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 +2 more
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Intelligent Fault Diagnosis of the ICATS
IFAC Proceedings Volumes, 1992Abstract 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
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Intelligent fault diagnosis of induction motor with stator winding fault
2015 11th International Conference on Natural Computation (ICNC), 2015In 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 +5 more
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Intelligent Data Mining Approach for Fault Diagnosis
2008 Eighth International Conference on Intelligent Systems Design and Applications, 2008This 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 +2 more
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Remote intelligent fault diagnosis of analog circuit
2011 Seventh International Conference on Natural Computation, 2011A 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
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Industrial applications of the intelligent fault diagnosis system
Proceedings of the 2001 American Control Conference. (Cat. No.01CH37148), 2001Process monitoring and fault diagnosis have been widely studied in recent years, and a large number of industrial applications are reviewed. For further improvement of the reliability and safety of the process and the process equipment, the automatic early detection and localisation of faults is of high interest.
Sirkka-Liisa Jämsä Jounela +3 more
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Intelligent fault diagnosis based on granular computing
2008 IEEE International Conference on Granular Computing, 2008This paper presents a new approach to intelligent fault diagnosis of the machinery based on granular computing. The tolerance granularity space mode is constructed by means of the inner-class distance defined in the attributes space. Different features of the vibration signals, including time domain statistical features and frequency domain statistical
Xiaoxu Yan, Zhousuo Zhang, Wei Cheng
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Intelligent Fault Diagnosis for Industrial Big Data
Journal of Signal Processing Systems, 2018With the rapid development of the Internet of Things (IoT), industrial big data can now be collected through many different sources, such as multimedia. Intelligent fault diagnosis is recognized as an important and promising approach in using these data, because it can provide accurate diagnosis and adjust to different deployed environments.
Jia Si, Yibin Li 0002, Sile Ma
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A method for intelligent fault diagnosis of rotating machinery
Digital Signal Processing, 2004Abstract This paper presents an intelligent methodology for diagnosing incipient faults in rotating machinery. In this fault diagnosis system, wavelet transform techniques are used in combination with a function approximation model to extract fault features. Wavelet neural networks are also constructed.
Changzheng Chen, Changtao Mo
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