Results 161 to 170 of about 73,405 (211)

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
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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 real-time fault diagnosis of greenhouse sensors

Control Engineering Practice, 1995
Abstract An intelligent real-time system has been developed to monitor greenhouse sensor signals. Its objective is to detect and correct errors in the data due to faulty sensor readings. The system (FLASH- Flexible Artificial Intelligence for Signal Handling in real time) uses a novel knowledge-based approach for fault detection and isolation.
Simon A. Beaulah, Zaid S. Chalabi
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Application of intelligent fault diagnosis technology in NC machine tool fault diagnosis

Proceedings of 2011 International Conference on Electronics and Optoelectronics, 2011
The paper takes NC machine as object, mainly introduced the reasoning mechanism of NC machine tool fault diagnosis, namely, RBR and CBR coordinated operation diagnosis mechanism. Rules, cases and feature data are separately stored in the database combined with the structure and functions of NC machine tool.
null Jiao Wang, Meiling Qi
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Intelligent Fault Diagnosis in Lead-Zinc Smelting Process

IFAC Proceedings Volumes, 2006
Abstract According to the fault characteristic of the Imperial smelting process (ISP), a novel intelligent integrated fault diagnostic system is developed. Where Fuzzy neural networks are utilized to extracting fault symptom and Expert system is employed for effective fault diagnosis of the process.
Weihua Gui, Chunhua Yang, Jing Teng, Wenning Yu   +3 more
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Artificial intelligence and learning techniques in intelligent fault diagnosis

2015 4th International Conference on Computer Science and Network Technology (ICCSNT), 2015
At present, based on computer and information technology, intelligent diagnosis technology is in rapid development. In this paper, the application of artificial intelligence and learning techniques in intelligent fault diagnosis are demonstrated, such as Rule-Based Reasoning, Case-based Reasoning, Network neural, Fuzzy Logic, Genetic algorithm, Rough ...
null Sun Yuanyuan, null Guo Lili, null Wang Yongming   +2 more
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Intelligent fault diagnosis and control reconfiguration

IEEE Control Systems, 1994
This paper gives an overview of fault diagnosis and control reconfiguration for complex systems such as those required in the aerospace industry. The presentation starts with a brief review of fault accommodation followed by four specific examples, viewed from the perspective of a control engineer.
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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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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
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INTELLIGENT JOINT FAULT DIAGNOSIS OF INDUSTRIAL ROBOTS

Mechanical Systems and Signal Processing, 1998
Abstract The dynamic behaviour of high-performance mechanical systems such as robots is strongly influenced by the characteristics of the link joints. Joint backlash as a result of wear due to severe stress imposed on the transmission system degrades the robot performance. This paper presents a systematic methodology to diagnose the joint-backlash of
M.-C. Pan, H. Van Brussel, P. Sas
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