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Experiment and Simulation of Transistor Level Fault Model of IDDT Test

Experiment and Simulation of Transistor Level Fault Model of...

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2009 International Conference on Applied Superconductivity and Electromagnetic Devices(应用超导与电磁装置技术国际会议 ASEME 2009)

作者： Dajin Yu Shuyan Jiang Yongle Xie Gang Luo School of Automation Engineering University of Electronic Science and Technology of China Chengdu C Mechanical Engineering Department Chengdu Electromechanical College Chengdu China

Fault and fault model is the fundament of IC diagnosis. Fault model based on IDDT and its test is the hot issue of modern IC fault diagnosis at present. Open and short fault models of inverter, NAND gate, and SRAM of CMOS technology were built in this paper. In the experiments, we selected the deep sub-micron of 0.18 μm CMOS technology to simulate with HSPICE. The simulations of IDDT waveforms and FFT transform waveforms of different fault models were made and the results were indicated that the IDDT test method can detect the open and short fault of CMOS devices effectively.

关键词： IDDT COMS technology fault mode HSPICE

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Development of Driving Program of Wiring Harness Based on S3C44B0

Development of Driving Program of Wiring Harness Based on S3...

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2009国际通信电路与系统学术会议(ICCCAS 2009)(2009 International Conference on Communications，Circuits and Systems)

作者： Shuyan Jiang Gang Luo School of Automation Engineering University of Electronic Science and Technology of China Chengdu Mechanical Department Chengdu Electromechanical College Chengdu 610054 China

ISBN: (纸本)9781424448876;9781424448883

Now 32 bit embedded RISC microprocessor is used more largely with the development of IC industry. ARM microprocessor is a good choice for an embedded system. It provides many different kinds of interfaces for special application. In this paper, an embedded uClinux system based on ARM has been developed. We have successfully transplanted uClinux operating system into ARM hardware platform, and gave the developing and loading code of the uClinux device driver and the flow chart. We researched the whole process of how to develop embedded system drivers by designing the wiring harness testing instrument.

关键词： WIRING HARNESS Embedded systems macroprocessor device drivers photographic applications Hardware Platform

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Research on the Characteristic Test of Via Holes in Microwave Circuits

Research on the Characteristic Test of Via Holes in Microwav...

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IEEE Circuits and Systems International Conference on Testing and Diagnosis, ICTD

作者： Yu Tian Yu Liu Ling Tong Jinxian Liu College of Automation Engineering University of Electronic Science and Technology Chengdu China National Key Laboratory for Electronic Measurement Technology Qingdao China

The detailed design and analysis for measuring characteristics of via holes in microwave circuits are presented, including the design of devices under test(DUT) and the test fixtures. Then the methodology of de-embedding based on TRL calibration is introduced which can help to extract the scattering parameters of via holes from the original measured data. The methodology including design, measurement and analysis will help the study of microstrip via holes.

关键词： Circuit testing Microwave circuits Microwave devices Microwave measurements Fixtures Calibration Data mining Scattering parameters Design methodology Microstrip

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Transmit power of interrogations controlling method in TCAS

Transmit power of interrogations controlling method in TCAS

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2009 Chinese Control and Decision Conference, CCDC 2009

作者： Yunsong, Lin Liangfu, Peng College of Automation University of Electronic Science and Technology of China Chengdu 610054 China College of Electrical Information Engineering Southwest University for Nationalities Chengdu 610041 China

ISBN: (纸本)9781424427239

The methods of controlling the transmit power of integration to limit the interferences which are resulted from air-to-air communication in the Traffic alert Collision Avoidance System are proposed. The dynamic controlling of tracking integration power for mode S targets and the variable steps Whisper/Shout interrogation for mode A/C targets are presented. In order to analyze the validity of the methods, the distribution model of aircraft traffic density is established. Additionally, the procedure for interrogations power controlling and the implementation in surveillance function are described. © 2009 IEEE.

关键词： Air traffic control

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A Soil Sampling Intelligent System Based on Elastic Algorithm and GIS

A Soil Sampling Intelligent System Based on Elastic Algorith...

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International Conference on Natural Computation (ICNC)

作者： Chen Yunping Wang Xiu Zhao Chunjiang Technology in Agricultural National Engineering Research Center for Information Security Beijing China College of Automation University of Electronic Science and Technology Chengdu China

ISBN: (纸本)9781424445424

The fast and low-cost soil sampling methods is the key for precision agriculture (PA) to be applied widely. In this paper, a general framework of an intelligent system for soil sampling has been constructed. Five modules have been set up to response to some main function about soil sampling based on geographic information system (GIS) and Global Positioning System (GPS) technology. Elastic algorithm had been utilized to design the sampling path. With this system, we can design soil sampling sites and optimize sampling path easily. A navigation function has been designed, with which a vehicle can be navigated to each soil sampling point quickly and accurately. Furthermore, the geographic coordinates and the soil laboratory analysis results of samples can be integrated to be managed. Finally, connecting with a sensor, the system can analyze samples in the field, immediately after they were taken.

关键词： Soil Sampling methods Intelligent systems Geographic Information Systems Global Positioning System Navigation Agriculture Algorithm design and analysis Design optimization Vehicles

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Symmetrical 2DLDA Using Different Measures in Face Recognition

Symmetrical 2DLDA Using Different Measures in Face Recogniti...

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International Workshop on Knowledge Discovery and Data Mining (WKDD)

作者： Jicheng Meng Li Feng College of Automation Engineering University of Electronic Science and Technology Chengdu China Sichuan Province Inspection Test Bureau of Electronic Produces Chengdu China

Facial symmetry can be regarded as a not absolute but useful and natural feature. In this paper, this symmetrical feature is applied to two-dimensional linear discriminant analysis (2DLDA) for face image feature extraction, furthermore, the distance measure (DM) and Frobenius-norm measure(FM) are also developed to classify faces. Symmetrical 2DLDA (S2DLDA) used pure statistical mathematical technique (just like 2DLDA), as well as the characters of face image (just like SLDA), to improve the recognition performance. The typical similarity measure used in 2DLDA is applied to S2DLDA, which is the sum of the Euclidean distance between two feature vectors in feature matrix, called DM. The similarity measure based on Frobenius-norm is also developed to classify face images for S2DLDA. To test their performance, experiments are performed on YALE and ORL face databases. The experimental results show that when DM is used, S2DLDA has the potential to outperform 2DLDA.

关键词： Face recognition Delta modulation Linear discriminant analysis Feature extraction Character recognition Image recognition Euclidean distance Testing Performance evaluation Image databases

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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...

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IEEE PES Asia-Pacific Power and Energy engineering Conference (APPEEC)

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

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 Hilbert 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.

关键词： Noise reduction Independent component analysis Signal processing algorithms White noise Multidimensional systems Power system analysis computing Frequency Wavelet analysis Multidimensional signal processing Educational institutions

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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...

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IEEE PES Asia-Pacific Power and Energy engineering Conference (APPEEC)

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

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.

关键词： Infrared imaging Infrared detectors Image edge detection Quantum computing Fault diagnosis Computerized monitoring Infrared surveillance Data mining Quantum mechanics Feature extraction

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A Method on Analog Circuit Fault Diagnosis with Tolerance

A Method on Analog Circuit Fault Diagnosis with Tolerance

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IEEE Circuits and Systems International Conference on Testing and Diagnosis, ICTD

作者： Yanjun Li Houjun Wang Rueywen Liu College of Automation University of Electronic Science and Technology Chengdu China Department of Electrical Engineering University of Notre Dame South Bend IN USA

In this paper, it is proved that the direction of the node-voltage difference vector, which is the difference between the node-voltage vector at faulty state and the one at the nominal state, is determined only by the location of the faulty element in linear analog circuits. Considering that the direction of the node-voltage sensitivity vector is the same as the one of the node-voltage difference vector and also considering that the module of the node-voltage sensitivity vector can present the weight from the faulty element parameter deviation to the voltage difference, fault dictionary is made up of node-voltage sensitivity vectors. A decision algorithm is proposed concerned with both the location and the parameter difference of the faulty element. Single fault and multi-fault can be diagnosed while the circuit parameters deviate within the tolerance range of 10%.

关键词： Analog circuits Fault diagnosis Circuit faults Vectors Dictionaries Educational institutions automation Voltage Circuit testing Joining processes

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

Analog circuit fault diagnosis using bagging ensemble method...

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IEEE International Conference on Mechatronics and automation

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

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.

关键词： Analog circuits Fault diagnosis Bagging Neural networks Circuit faults Circuit simulation automation Circuit testing Dictionaries Mechatronics

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