Results 151 to 160 of about 3,273,797 (200)

Intelligent Fault Diagnosis for Industrial Big Data

Journal of Signal Processing Systems, 2018
With 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, 2004
Abstract 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
openaire   +1 more source

Industrial applications of the intelligent fault diagnosis system

Proceedings of the 2001 American Control Conference. (Cat. No.01CH37148), 2001
Process 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, M. Vermasvuori, S. Haavisto, Jerri Kämpe   +3 more
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Intelligent fault diagnosis based on granular computing

2008 IEEE International Conference on Granular Computing, 2008
This 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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A Fault Detection and Diagnosis Framework for Ambient Intelligent Systems

2012 9th International Conference on Ubiquitous Intelligence and Computing and 9th International Conference on Autonomic and Trusted Computing, 2012
Ambient intelligence (AmI) systems are smart interactive systems that perceive their surroundings using sensors and act upon them using actuators. One of the most common applications of such systems is Smart Homes. In this context, the ambient system can offer a great level of dependability if it is able to exploit available sensor data in order to ...
Mohamed, Ahmed, Jacquet, Christophe, Bellik, Yacine   +2 more
openaire   +1 more source

Fault diagnosis method of the intelligent substation

2014 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC), 2014
The main fault diagnosis algorithms of traditional substation are based on the protections and breakers. And they have not concerned the influence of abnormal communication network to the stable operation of the intelligent substation. Based on the questions mentioned above, this paper introduces the fault information of the intelligent substation ...
Gao Zhan Jun, Wang Jun Shan, Gao Nuo
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An evaluation of intelligent systems for fault diagnosis

Proceedings of IEEE International Conference on Systems, Man and Cybernetics, 2002
This paper discusses the foundation of intelligent systems sufficient for studying Space station and/or utility power systems, where fault detection are of paramount importance. The functionality of these intelligent systems or tools, such as expert systems, artificial neural networks and fuzzy logic, for aiding in design, control and analysis of power
J.A. Momoh, D. Sobajic, J. Dolce
openaire   +1 more source

Intelligent Fault Diagnosis Methodology

2016
There are many approaches that can be used to design a data-driven diagnosis algorithm. Usually, we divide them into three strategies.
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Intelligent diagnosis of transparent faults in automobiles

Proceedings of the 35th SICE Annual Conference. International Session Papers, 2005
Use of modern technologies in the manufacture of vehicles are making them more reliable. However, the usefulness (availability) of the vehicles also depends upon how quickly it can be repaired if a fault occurs. The vehicles are always provided with general purpose monitoring instruments to indicate online status of the vehicles.
S. Kher, P.K. Chande
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Artificial intelligence approaches to fault diagnosis

IEE Colloquium on Condition Monitoring Machinery, External Structures and Health, 1999
Fault diagnosis of control engineering systems can be based upon the generation of signals which reflect inconsistencies between the fault-free and faulty system operation-so-called residual signals. This paper outlines some recent approaches to the generation of residual signals using methods of integrating quantitative and qualitative system ...
openaire   +1 more source