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Multilevel Feature Moving Average Ratio Method for Fault Diagnosis of the Microgrid Inverter Switch

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IEEE/CAA Journal of Automatica Sinica 2017年第2期4卷 177-185页

作者： Zhanjun Huang zhanshan wang Huaguang Zhang College of Information Science and Engineering Northeastern University State Key Laboratory of Synthetical Automation for Process Industries IEEE

Multilevel feature moving average ratio method is proposed to realize an open-switch fault diagnosis for any switch of the microgrid inverter. The main steps of the proposed method include multilevel signal decomposition, coefficient reconstruction, absolute average ratio process and artificial neural network U+0028 ANN U+0029 classification. Specifically, multilevel signal decomposition is realized by using the means of multi resolution analysis to obtain the different frequency band coefficients of the three-phase current signal. The related coefficient reconstruction is executed to achieve signals decomposition in different levels. Furthermore, according to the obtained data, the absolute average ratio process is used to extract absolute moving average ratio of signal decomposition in different levels for the three-phase current. Finally, to intelligently classify the inverter switch fault and realize the adaptive ability, the ANN technology is applied. Compared to conventional fault diagnosis methods, the proposed method can accurately detect and locate the open-switch fault for any location of the microgrid inverter. Additionally, it need not set related threshold of algorithm and does not require normalization process, which is relatively easy to implement. The effectiveness of the proposed fault diagnosis method is demonstrated through detailed simulation results. © 2017 Chinese Association of Automation.

关键词： Deep neural networks Electric inverters Failure analysis Frequency bands Neural networks Signal distortion Signal processing

Refined Jensen-Based Multiple Integral Inequality and Its Application to Stability of Time-Delay Systems

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IEEE/CAA Journal of Automatica Sinica 2018年第3期5卷 758-764页

作者： Jidong wang zhanshan wang Sanbo Ding Huaguang Zhang College of Information Science and Engineering Northeastern University Shenyang 110819 China State Key Laboratory of Synthetical Automation for Process Industries Shenyang 110819 China College of Electrical Engineering North China University of Water Resources and Electric Power Zhengzhou 450011 China IEEE

This paper investigates the stability of time-delay systems via a multiple integral approach. Based on the refined Jensen-based inequality, a novel multiple integral inequality is proposed. Applying the multiple integral inequality to estimate the derivative of Lyapunov-Krasovskii functional(LKF) with multiple integral terms, a novel stability condition is formulated for the linear time-delay systems. Two numerical examples are employed to demonstrate the improvements of our results.

关键词： Multiple integral approach refined Jensen-based multiple integral inequality(RJMII) stability analysis time-delay systems

Stochastic synchronization of neutral-type chaotic impulse neural networks with leakage delay and Markovian jumping parameters

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International Journal of Intelligent Computing and Cybernetics 2016年第3期9卷 237-254页

作者： Cheng-De Zheng zhanshan wang School of Science Dalian Jiaotong UniversityDalianPR China School of Information Science and Engineering Northeastern UniversityShenyangPR China

Purpose-The purpose of this paper is to develop a methodology for the stochastically asymptotic synchronization problem for a class of neutral-type chaotic neural networks with both leakage delay and Markovian jumping parameters under impulsive ***/methodology/approach-The authors perform drive-response concept and time-delay feedback control techniques to investigate a class of neutral-type chaotic neural networks with both leakage delay and Markovian jumping parameters under impulsive *** sufficient criterion is established without strict conditions imposed on the activation ***-It turns out that the approach results in new sufficient criterion easy to be verified but without the usual assumption of the differentiability and monotonicity of the activation *** examples show the effectiveness of the obtained ***/value-The novelty of the proposed approach lies in removing the usual assumption of the differentiability and monotonicity of the activation functions,and the use of the Lyapunov functionalmethod,Jensen integral inequality,a novel Gu’s lemma,reciprocal convex and linear convex combination technique for the stochastically asymptotic synchronization problem for a class of neutral-type chaotic neural networks with both leakage delay and Markovian jumping parameters under impulsive perturbations.

关键词： Chaotic neural networks Jensen integral inequality Leakage delay Markovian jump Stochastically asymptotic synchronization Impulse

New delay-dependent criterion for the stability of recurrent neural networks with time-varying delay

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Science in China(Series F) 2009年第6期52卷 942-948页

作者： ZHANG HuaGuang wang zhanshan School of Information Science and Engineering Northeastern University Shenyang 110004 China

This paper is concerned with the global asymptotic stability of a class of recurrent neural networks with interval time-varying *** constructing a suitable Lyapunov functional, a new criterion is established to ensure the global asymptotic stability of the concerned neural networks, which can be expressed in the form of linear matrix inequality and independent of the size of derivative of time varying *** numerical examples show the effectiveness of the obtained results.

关键词： recurrent neural networks global asymptotic stability linear matrix inequality (LMI) time-varying delay

Delay dependent stability criteria for recurrent neural networks with time varying delays

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控制理论与应用（英文版） 2009年第1期7卷 9-13页

作者： zhanshan wang Huaguang ZHANG School of Information Science and Engineering Northeastern University Shenyang Liaoning 110004 China

This paper aims to present some delay-dependent global asymptotic stability criteria for recurrent neural networks with time varying delays. The obtained results have no restriction on the magnitude of derivative of time varying delay, and can be easily checked due to the form of linear matrix inequality. By comparison with some previous results, the obtained results are less conservative. A numerical example is utilized to demonstrate the effectiveness of the obtained results.

关键词： Recurrent neural networks Stability Time varying delay Linear matrix inequality

Adaptive synchronization of different kinds of chaotic neural networks

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控制理论与应用（英文版） 2008年第2期6卷 201-207页

作者： Huanxin GUAN zhanshan wang Huaguang ZHANG School of Information Science and Engineering Northeastern University Shenyang Liaoning 110004 China Department of Continuous Education Shenyang InstitUte of Engineering Shenyang Liaoning 110034 China

The purpose of the paper is to present an adaptive control method for the synchronization of different classes of chaotic neural networks. A new sufficient condition for the global synchronization of two kinds of chaotic neural networks is derived. The proposed control method is efficient for implementing the synchronization when the parameters of the drive system are different from those of the response system. A numerical example is used to demonstrate the validity of the proposed method and the obtained result.

关键词： Chaotic system Neural networks Adaptive synchronization Linear matrix inequality

Consensus Robust Output Regulation of Discrete-time Linear Multi-agent Systems

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IEEE/CAA Journal of Automatica Sinica 2014年第2期1卷 204-209页

作者： Hongjing Liang Huaguang Zhang zhanshan wang Junyi wang School of Information Science and Engineering Northeastern University State Key Laboratory of Synthetical Automation for Process Industries (Northeastern University)

This paper deals with consensus robust output regulation of discrete-time linear multi-agent systems under a directed interaction topology. The digraph is assumed to contain a spanning tree. Every agent or subsystem is identical and uncertain, but subsystems have different external disturbances. Based on the internal model and general discrete-time algebraic Riccati equation, a distributed consensus protocol is proposed to solve the regulator problem. A numerical simulation demonstrates the effectiveness of the proposed theoretical results.

关键词： Multi-agent systems Robustness Eigenvalues and eigenfunctions Protocols Mathematical model Symmetric matrices Topology

Design,fabrication and characterization of the X-ray supermirrors

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Science China(Physics,Mechanics & Astronomy) 2005年第5期48卷 559-574页

作者： wang zhanshan wang Fengli ZHANG Zhong CHENG Xinbin QIN Shuji CHEN Lingyan Institute of Precision Optical Engineering Department of PhysicsTongji UniversityShanghai 20092China

The design,fabrication and characterization of the X-ray supermirrors are discussed in this *** the local optimization method of simplex algorithm and the global one of simulated annealing algorithm with different initial multilayer structures,we designed the broad angular band supermirrors with different grazing incidence angle intervals at the energy of 8.0 keV(the Kαline of Cu)and the broad energetic band supermirrors with different energy intervals at fixed grazing incidence *** fabricating techniques for depositing non-periodic multilayers are also *** W/C and W/Si supermirrors are deposited on silicon substrates and characterized by a high resolution X-ray D1 diffractometer from Bede Company,*** the interface roughness and the densities of the materials as independent variables,some measured reflectivity curves are fitted using the Debye-Waller factor with interface *** experimental results show that the optical performances of the fabricated supermirrors are in agreement with the designed ones.

关键词： X-ray supermirror magnetron sputter multilayer reflectivity.

Direct Ion Beam Figuring Process and Rotational Measurement Method for Ultra-smooth Aspherical Surfaces of a 46.5 nm Telescope

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Research in Astronomy and Astrophysics 2023年第11期23卷 136-149页

作者： Weichen Gu Jun Yu Pengfeng Sheng Qiaoyu Wu Qiushi Huang zhanshan wang Key Laboratory of Advanced Micro-structured Materials Ministry of EducationTongji UniversityShanghai 200092China Institute of Precision Optical Engineering School of Physics Science and EngineeringTongji UniversityShanghai 200092China

This paper describes a fabrication process for the hyperboloidal concave mirror of a 46.5 nm telescope. The180 mm aperture hyperboloidal concave mirror and 70 mm aperture compensator are machined directly from chemical mechanical polishing of a spherical surface to a high-accuracy aspherical surface by ion beam *** aspherical measurement method is the Dall null test. To minimize system errors in the measurement process,the rotational measurement method with six rotations is used in the null test. The results of the analysis for the ME(first solve the machined surface profile, then solve the system errors) and EM(first solve the system errors, then solve the machined surface profile) methods of calculation in the measurement are given. The ME method is a more accurate rotational test method, and the six rotations are appropriate for rotational measurements. After the figuring process, the hyperboloidal concave mirror surface profile reached 8.27 nm rms and the compensator surface profile is approximately 4 nm rms. The roughness of the hyperboloidal concave mirror is smooth to0.160 nm rms.

关键词： Astronomical Instrumentation Methods and Techniques instrumentation:high angular resolution telescopes