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IEEE/CAA Journal of Automatica Sinica 2024年第3期11卷 638-648页

作者： Xiaoting Du Lei Zou maiying zhong the College of Electrical Engineering and Automation Shandong University of Science and TechnologyQingdao 266590China IEEE the College of Information Science and Technology Donghua UniversityShanghai 201620 the Engineering Research Center of Digitalized Textile and Fashion Technology Ministry of EducationShanghai 201620China

The present study addresses the problem of fault estimation for a specific class of nonlinear time-varying complex networks,utilizing an unknown-input-observer approach within the framework of dynamic event-triggered mechanism(DETM).In order to optimize communication resource utilization,the DETM is employed to determine whether the current measurement data should be transmitted to the estimator or *** guarantee a satisfactory estimation performance for the fault signal,an unknown-input-observer-based estimator is constructed to decouple the estimation error dynamics from the influence of fault *** aim of this paper is to find the suitable estimator parameters under the effects of DETM such that both the state estimates and fault estimates are confined within two sets of closed ellipsoid *** techniques of recursive matrix inequality are applied to derive sufficient conditions for the existence of the desired estimator,ensuring that the specified performance requirements are met under certain ***,the estimator gains are derived by minimizing the ellipsoid domain in the sense of trace and a recursive estimator parameter design algorithm is then ***,a numerical example is conducted to demonstrate the effectiveness of the designed estimator.

关键词： Dynamic event-triggered mechanism(DETM) fault estimation nonlinear time-varying complex networks set-member-ship filtering unknown input observer

基于循环卷积生成对抗网络的风机齿轮箱故障诊断

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山东科技大学学报（自然科学版） 2024年第1期43卷 109-118页

作者：赵承利张璐钟麦英山东科技大学电气与自动化工程学院山东青岛266590

风机齿轮箱是风力涡轮传动系统中的关键部分,其故障发生随机、故障样本数量不足,严重影响故障诊断的准确性。针对此问题,提出一种基于循环卷积生成对抗网络的风机齿轮箱故障诊断方法。首先,构建基于循环卷积生成对抗网络的样本生成模型... 详细信息

风机齿轮箱是风力涡轮传动系统中的关键部分,其故障发生随机、故障样本数量不足,严重影响故障诊断的准确性。针对此问题,提出一种基于循环卷积生成对抗网络的风机齿轮箱故障诊断方法。首先,构建基于循环卷积生成对抗网络的样本生成模型,利用卷积网络和循环网络作为生成器增强样本间的时间相关性;借助Wasserstein距离与梯度惩罚项改进目标函数,并通过博弈对抗机制优化生成器和判别器,提高模型的泛化能力。然后,结合真实样本和生成样本,设计基于堆叠去噪自编码器的故障诊断方法,实现齿轮箱的故障诊断。最后,利用风力涡轮传动系统数据集验证所提出的风机齿轮箱故障诊断方法的性能。结果显示,所提方法能够有效平衡故障样本数据集,进一步提高风机齿轮箱故障诊断的准确率。

关键词：故障诊断风机齿轮箱生成对抗网络循环卷积网络样本生成

Unknown-input-observer-based approach to dynamic event-triggered fault estimation for Markovian jump systems with time-varying delays

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Science China(Information Sciences) 2022年第3期65卷 138-151页

作者： Xiaoting DU Lei ZOU zhongyi ZHAO Yezheng WANG maiying zhong College of Electrical Engineering and Automation Shandong University of Science and Technology Department of Computer Science Brunel University London

This paper investigates the unknown-input-observer-based fault estimation problem for a class of discrete-time-delay Markovian jump systems under the dynamic event-triggered transmission scheme. The dynamic event-triggered mechanism is used to decide whether the current information should be transmitted to the estimator or not to save the limited communication resources. This study aims to design an event-based fault estimator such that the estimation error is exponentially ultimately bounded in the mean square *** adopting the Lyapunov-Krasovskii functional approach, sufficient conditions are obtained to guarantee the existence of the desired estimator to achieve the prescribed performance requirement. The estimator gains are derived based on the convex optimization technique. A numerical example is provided to illustrate the effectiveness of the developed estimator design scheme.

关键词： fault estimation unknown input observer Markovian jump systems dynamic event-triggered mechanism time-varying delays

Fault detection filter design for linear discrete time-varying systems with multiplicative noise

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Journal of Systems Engineering and Electronics 2011年第6期22卷 982-990页

作者： Yueyang Li maiying zhong School of Control Science and Engineering Shandong University Jinan 250061 R R. China Science and Technology on Inertial Laboratory Beihang University Beijing 100191 E R. China

The problem of fault detection for linear discrete timevarying systems with multiplicative noise is dealt *** using an observer-based robust fault detection filter（FDF） as a residual generator,the design of the FDF is formulated in the framework of H ∞ filtering for a class of stochastic time-varying systems.A sufficient condition for the existence of the FDF is derived in terms of a Riccati *** determination of the parameter matrices of the filter is converted into a quadratic optimization problem,and an analytical solution of the parameter matrices is obtained by solving the Riccati *** examples are given to illustrate the effectiveness of the proposed method.

关键词： fault detection filter(FDF) linear discrete time-varying(LDTV) system multiplicative noise Riccati equation.

Optimal fault detection for a class of discrete-time switched linear systems

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Journal of Systems Engineering and Electronics 2013年第3期24卷 512-518页

作者： Yueyang Li maiying zhong School of Electrical Engineering University of Jinan Science and Technology on Inertial Laboratory Beihang University

This paper deals with the problem of optimal fault detection filter （FDF） design for a class of discrete-time switched linear systems under arbitrary switching. By using an observer-based FDF as a residual generator, the design of the FDF is formulated into an optimization problem through maximizing the H_/H∞ or H∞/H∞ performance index. With the aid of an operator optimization method, it is shown that a mode-dependent unified optimal solution can be derived by solving a coupled Riccati equation. A numerical example is given to show the effectiveness of the proposed method.

关键词： fault detection filter (FDF) discrete-time linear switched system observer coupled Riccati equation.

Scheme of optimal fault detection for linear discrete time-varying systems with delayed state

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Journal of Systems Engineering and Electronics 2017年第5期28卷 979-985页

作者： maiying zhong Jie Chen Yue Geng School of Instrumentation Science and Opto-electronics Engineering Beihang University College of Electrical Engineering and Automation Shandong University of Science and Technology

This paper deals with the problem of the optimal fault detection (FD) for linear discrete time-varying (LDTV) systems with delayed state and l(2)-norm bounded unknown input. The novelty lies in the designing of an evaluation function for the robust FD. The basic idea is to directly construct an evaluation function by using a weighted l(2)-norm of the measurement output, which achieves an optimal trade-off between the sensitivity to fault and the robustness to l(2)-norm bounded unknown input. To avoid complex computation, a feasible solution is obtained via the recursive computation by applying the orthogonal projection. It is shown that such an evaluation function provides a unified scheme for both the cases of unknown input being l(2)-norm bounded and jointly normal distribution, while a threshold may be chosen based on a priori knowledge of unknown input. A numerical example is given to demonstrate the effectiveness of the proposed method.

关键词： fault detection evaluation function linear discrete time-varying system time-delay

Fault detection for a class of linear systems with integral measurements

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Science China(Information Sciences) 2021年第3期64卷 207-216页

作者： Xiaoqiang ZHU Yang LIU Jingzhong FANG maiying zhong College of Electrical Engineering and Automation Shandong University of Science and Technology

This paper discusses the parity space-based fault detection(FD) method for a class of linear discrete-time systems with integral measurements. The integral measurements are functions of the system states over a given time window. We establish a novel parity relation to tackle integral measurements. The parameters of the FD unit are redesigned such that the generated residual signal is simultaneously decoupled from initial states, robust against disturbances, and sensitive to the faults. We employ the singular value decomposition algorithm to calculate parity space matrices. Finally, an experiment is presented to show the effectiveness of the proposed method.

关键词： fault detection linear discrete-time systems integral measurements parity space optimization problem

H_∞ fault estimation for a class of linear time-delay systems in finite frequency domain

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Journal of Systems Engineering and Electronics 2010年第5期21卷 835-841页

作者： Quanchao Dong maiying zhong Steven X. Ding School of Control Science and Engineering Shandong University Jinan 250061 E R. China School of Instrumentation Science and Opto-electronics Engineering Beihang University Beijing 100191 P. R. China Institute for Automatic Control and Complex Systems University of Duisburg-Essen Duisburg 47057 Germany

This paper deals with the problem of H∞ fault estimation for linear time-delay systems in finite frequency *** a generalized coordinate change is applied to the original system such that in the new coordinates all the time-delay terms are injected by the system＇s input and *** an observer-based H∞ fault estimator with input and output injections is proposed for fault estimation with known frequency *** the aid of Generalized Kalman-Yakubovich-Popov lemma,sufficient conditions on the existence of the H∞ fault estimator are derived and a solution to the observer gain matrices is obtained by solving a set of linear matrix ***,a numerical example is given to illustrate the effectiveness of the proposed method.

关键词： fault estimation time-delay generalized coordinate change generalized Kalman-Yakubovich-Popov lemma finite frequency domain.

基于自适应模糊神经网络的污泥膨胀智能检测方法

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山东科技大学学报（自然科学版） 2022年第1期41卷 98-106页

作者：张璐钟麦英山东科技大学电气与自动化工程学院山东青岛266590

污水处理是一个运行机理复杂,影响因素众多的非线性过程,一旦发生污泥膨胀,会影响泥水分离效果,导致出水水质恶化。为了实现污泥膨胀的在线准确检测,提出一种基于自适应模糊神经网络的智能检测方法(AFNN-ID),实时获取污水处理过程中污... 详细信息

污水处理是一个运行机理复杂,影响因素众多的非线性过程,一旦发生污泥膨胀,会影响泥水分离效果,导致出水水质恶化。为了实现污泥膨胀的在线准确检测,提出一种基于自适应模糊神经网络的智能检测方法(AFNN-ID),实时获取污水处理过程中污泥膨胀的动态特性;设计一种基于检测模型误差的多指标评价策略,实现了污水处理过程污泥膨胀状态的检测。利用实际污水处理厂的运行数据对所提出的污泥膨胀智能检测方法进行测试,验证了其有效性。

关键词：污泥膨胀智能检测自适应模糊神经网络多指标评价

Robust H_∞ Control for Uncertain Markovian Jump Linear Time-Delay Systems

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Journal of Systems Engineering and Electronics 2002年第1期13卷 13-20页

作者： zhong maiying, Zhu Kunping & Tang Bingyong Business and Management School of Donghua University, Shanghai 200051, P. R. China Business and Management School of Donghua University Shanghai 200051 P. R. China

This paper studies the robust stochastic stabilization and robust H∞ control for linear time-delay systems with both Markovian jump parameters and unknown norm-bounded parameter uncertainties. This problem can be solved on the basis of stochastic Lyapunov approach and linear matrix inequality (LMI) technique. Sufficient conditions for the existence of stochastic stabilization and robust H∞ state feedback controller are presented in terms of a set of solutions of coupled LMIs. Finally, a numerical example is included to demonstrate the practicability of the proposed methods.

关键词： Feedback control Linear algebra Linear equations Linear systems Lyapunov methods Markov processes Robustness (control systems)