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Neural network ensemble approach in analog circuit fault diagnosis 6

引用

6th International Symposium of Neural Networks, ISNN 2009

作者： Liu, Hong Chen, Guangju Song, Guoming Han, Tailin School of Automation Engineering University of Electronic Science and Technology of China Chengdu610054 China School of Computer Science and Technology Changchun University of Science and Technology Changchun130022 China Computer Engineering Dept Chengdu Electromechanical College Chengdu610031 China College of Electronic Science and Engineering Changchun University of Science and Technology Changchun130022 China

ISBN: (纸本)9783642012150

Neural Network (NN) based analog circuit fault diagnosis approach is the widely used strategy in present. In this paper, a NN-ensemble-based strategy has been introduced into the field of analog circuit fault diagnosis. Efficient, accurate and different fault features sets are obtained by resampling the original feature sets with Bagging algorithm in order to train individual RBF neural networks as component classifiers simultaneously, then plurality voting strategy is employed to isolate the actual faults of analog Circuit Under Test (CUT). Experimental results indicate that compared with any of its individual RBF neural network, the NN ensemble is able to effectively improve the generalization ability of the analog circuit fault classifier and increase the fault diagnosis accuracy. © Springer-Verlag Berlin Heidelberg 2009.

关键词： Failure analysis

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Research on HV-power equipment diagnosis by infrared image edge detection

Research on HV-power equipment diagnosis by infrared image e...

引用

2009 Asia-Pacific Power and Energy engineering Conference, APPEEC 2009

作者： Li, Huangqiang Sun, Yunlian Li, Hong School of Electrical Engineering Wuhan University Wuhan China College of Automation University of Electronic Science and Technology of China Chengdu China

ISBN: (纸本)9781424424870

As a method of fault diagnosis and state monitoring for HV-power equipments, infrared image analysis has been applied while edge detection is a crucial step of this image application. In this paper, a novel edge detection based on quantum-inspired is proposed. Quantum-inspired edge detection (QIED) is based on concepts and principles of quantum computing such as quits and superposition of states. And detailed process of this method and result using in power equipment infrared image are given. The experiment result shows that compared with conventional edge detection QIED can extract more useful information for fault diagnosis. © 2009 IEEE.

关键词： Failure analysis

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Denoising of electric power system signals by ICA based on EMD virtual channel

Denoising of electric power system signals by ICA based on E...

引用

2009 Asia-Pacific Power and Energy engineering Conference, APPEEC 2009

作者： Li, Hong Li, Huangqiang College of Automation University of Electronic Science and Technology of China Chengdu China School of Electrical Engineering Wuhan University Wuhan China

ISBN: (纸本)9781424424870

The method integrated by independent component analysis (ICA) and empirical mode decomposition (EMD) is proposed in this paper, which can separate the signal from white noise. We used this method to eliminate the white noise from electric power system signals. The detailed courses of construction of virtual noise channel used EMD are described. Based on the characteristic of signals and noise, the principle of select intrinsic mode function (IMF), using the Hubert time-frequency spectra, is proposed to construct virtual noise channel. Then the inputs of the ICA are reconstructed by virtual channel and observation signal. By the ICA, the signal-noise separation will be realized. The simulation tests indicate that the de-noising performance of electric power system signals is effective. © 2009 IEEE.

关键词： Empirical mode decomposition

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Analog circuit fault diagnosis using bagging ensemble method with cross-validation

Analog circuit fault diagnosis using bagging ensemble method...

引用

2009 IEEE International Conference on Mechatronics and automation, ICMA 2009

作者： Liu, Hong Chen, Guangju Song, Guoming Han, Tailin School of Automation Engineering University of Electronic Science Technology of China Chengdu 610054 China School of Computer Science and Technology Changchun University of Science and Technology Changchun 130022 China College of Electronic Science and Engineering Changchun University of Science and Technology Changchun 130022 China

ISBN: (纸本)9781424426935

Neural Network (NN) ensemble approach has been an appealing topic in the field of analog circuit fault diagnosis lately. In this paper, a new method for fault diagnosis of analog circuits with tolerance based on NN ensemble method with cross-validation is proposed. Firstly, bias-variance decomposition shows the theoretical guide on how to choose the component networks when composing the ensemble. Secondly, output voltage signal of the Circuit Under Test (CUT) has been obtained after the stimulus imposed on the CUT. After getting the corresponding fault feature sets, Bagging algorithm is employed to produce the different training sets in order to train the different component networks, and cross-validation technique has been employed to further improve fault diagnosis accuracy. Finally, the outputs of the component ensemble members are combined to isolate the CUT faults. Simulations result shows the superior performance of this proposed approach. This system is able to effectively improve the generalization ability of the analog circuit fault classifier and increase the fault diagnosis accuracy. ©2009 IEEE.

关键词： Failure analysis

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RETRACTED ARTICLE: The integration evaluation and explanation system of Geo-information in OpenGIS Environment

RETRACTED ARTICLE: The integration evaluation and explanatio...

引用

2009 International Conference on Computational Intelligence and Software engineering, CiSE 2009

作者： Zheng, Wenfeng Yin, Zhengtong Li, Xiaolu School of Automation University of Electronic Science and Technology of China Chengdu Sichuan 610054 China College of Resources and Environmental Engineering Guizhou University Guiyang Guizhou 550025 China

ISBN: (纸本)9781424445073

It appears many new technologies and methods in Geo-information, its application becomes widespread day by day, as a result of its multiplicity in technologies and methods, the record files format, processing method and graphical display of data are also present multiplicity, disorderly, hard to store, and manage. This thesis proposed a kind of geo-information integration evaluation and explanation system based on OpenGIS, conformed to multi-sources, multi-criteria, multimethods and a mass of multidimensional geo-information data, integrated with specification such as GDAS, GLS, WMS and WFS in OpenGIS, combined with data via GIS platform, offered a convenient and effective tool for experts to explain and evaluate exploration information. ©2009 IEEE.

关键词： Software engineering

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Seismic disaster analyse and evaluation system based on OGC standard

Seismic disaster analyse and evaluation system based on OGC ...

引用

1st International Conference on Information Science and engineering, ICISE2009

ISBN: (纸本)9780769538877

At present, the city quakeproof and disaster reduction, urgent rescue as well as the disaster fast appraisal are important method to reduce the earthquake disaster. Therefore, establishing a real-time, all-around seismic disaster analyse and evaluation system is extremely essential. This article puts forward a seismic disaster analyse and Evaluation System which followed the OGC standard of the related service standard with GLS, GDAS, WFS-T, GML and WMS. It can promote the data sharing level to the feature class. Indicated after the experiment, the system has realized effectively the assessment in seismic disaster analyse and evaluation, and decision support to reduce disaster, emergency succor. ©2009 IEEE.

关键词： Disasters

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Spatial data dynamic balancing distribution method for parallel spatial database

Spatial data dynamic balancing distribution method for paral...

引用

2009 International Conference on Information engineering and Computer Science, ICIECS 2009

作者： Zhou, Yan Zhu, Qing Zhang, Yeting College of Automation University of Electronic Science and Technology of China Chengdu China State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing Wuhan University Wuhan China

ISBN: (纸本)9781424449941

Spatial data balancing distribution can evidently improve the performance of parallel spatial database in shared nothing parallel architecture. Considering spatial locality and unstructured variable length characteristics of spatial data, this paper proposes a dynamic spatial data balancing distribution method under shared nothing parallel database environment. By using Hilbert ordering code to keep spatial locality relationship between spatial objects, the presented method can fulfill spatial data static balancing distribution status, which depends on hierarchically decomposing Hilbert space-filling curve code to allocate approximately even spatial data volume to parallel nodes in distributed network. Then spatial proximity index is introduced to resolve spatial data unbalancing problem caused by spatial database dynamic updating. Through moving spatial data fragments to goal node which is the minimum spatial proximity with data moving out node, the spatial database redistributing strategy can attain dynamic data balance among all network parallel nodes. Our experimental results show that the proposed method can effectively improve parallel performance deterioration resulted from spatial data unbalancing and achieve spatial data dynamic balancing distribution in parallel spatial database. ©2009 IEEE.

关键词： Parallel architectures

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Research on role-authorized and MVC-based content management

Research on role-authorized and MVC-based content management

引用

International Conference on Management and Service Science, MASS 2009

作者： Li, Cong Li, Ma Dong, Ke School of Computer Science Sichuan Normal University Chengdu China Business College China West Normal University Nanchong China School of Electrical Engineering and Automation Hefei University of Technology Hefei China

ISBN: (纸本)9781424446391

Nowadays many Ecommerce corporations need to implement effective content management for controlling the data resources of their websites. In this paper, a role-authorized and MVC-based content management method is proposed. Firstly, the presentation mechanism of content management is designed based on MVC model. Secondly, the system users is separated into three types, including system administrator, content manager and visitor, then a role-authorized model is designed. The proposed method can bring good performance to the content management of E-commerce corporations. ©2009 IEEE.

关键词： Electronic commerce

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A blind extraction algorithm of periodic and statistically independent signals

A blind extraction algorithm of periodic and statistically i...

引用

9th International Conference on Electronic Measurement and Instruments, ICEMI 2009

作者： Yunxia, Li Changyuan, Fan School of Automation University of Electronic Science and Technology of China Chengdu China College of Electronic Engineering Chengdu University of Information Technology Chengdu China

ISBN: (纸本)9781424438624

The extraction of periodic and statistically independent signals is discussed. This problem can be modelled from the perspective of blind source extraction. An algorithm is proposed to extract such kind of signal from mixture signals. Since the desired signal is independent to other components, and at the same time it is periodic or quasi-periodic, its periodicity characteristic and independent property can be used to realize extraction. Simulation results verify the good performance of the proposed approach. ©2009 IEEE.

关键词： Independent component analysis

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A Novel Variable-Boundary-Coded Quantum Genetic Algorithm for Function Optimization

A Novel Variable-Boundary-Coded Quantum Genetic Algorithm fo...

引用

IEEE International Symposium on Dependable, Autonomic and Secure Computing (DASC)

作者： Hegen Xiong Kai Xiong Qiuhua Tang College of Mechanical Automation Engineering Wuhan University of Science and Technology Wuhan China School of Automation Engineering University of Electronic Science and Technology Chengdu China

Quantum genetic algorithm is a recently proposed new optimization algorithm combining quantum algorithm with genetic algorithm. It characterizes good population diversity, rapid convergence and good global search capability and so attracts serious and wide attentions. This paper proposes a novel quantum genetic algorithm called variable-boundary-coded quantum genetic algorithm (vbQGA) in which qubit chromosomes are collapsed into variable-boundary-coded chromosomes instead of binary-coded chromosomes. In this way we can obtain much shorter chromosome strings. The method of encoding and decoding of chromosome is first described before a new adaptive selection scheme for angle parameters used for rotation gate is put forward based on the core ideas and principles of quantum computation. Eight typical functions are selected to optimize to evaluate the effectiveness and performance of vbQGA against standard genetic algorithm (sGA) and genetic quantum algorithm (GQA) proposed. The results show that vbQGA is significantly superior to sGA in all aspects and outperforms GQA in robustness and solving velocity, especially for multidimensional and complicated functions.

关键词： Genetic algorithms Quantum computing Biological cells Quantum mechanics automation Genetic engineering Educational institutions Diversity reception Encoding Decoding

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