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IEEE Conference on Decision and control

作者： Jedsada Saijai Ali Abdo Waseem Damlakhi Steven X. Ding Institute for Automatic Control and Complex Systems Faculty of Engineering University of Duisburg-Essen Duisburg 47057 Germany

ISBN: (纸本)9781612848006

In this paper, the fault detection (FD) problems for discrete-time Markov jump linear systems (MJLS) are addressed. A scheme for solving FD problem for discrete-time MJLS, which is subject to the Gaussian disturbances, is proposed. The Kalman filter (KF) is used as a residual generator. Once a residual signal is generated, it will be evaluated whether faults occur or not. Residual evaluation function is selected such that the maximum fault detection rate (FDR) is achieved, for a given false alarm rate (FAR). Finally, threshold is computed by using an estimation of the variance of evaluation function in the fault-free case. To demonstrate the performance of this proposed method, a numerical example is given.

关键词： discrete-time Defect detection Linear system residual signal Markov jump

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Embedded model-based fault diagnosis for on-board diagnosis of engine control systems

Embedded model-based fault diagnosis for on-board diagnosis ...

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2005 IEEE International Conference on control Applications, CCA

作者： Weinhold, N. Ding, S.X. Jeinscht, T. Schultalbers, M. Institute for Automatic Control and Complex Systems University of Duisburg-Essen Bismarckstrasse 81 BB 47048 Duisburg Germany Department of Powertrain Mechatronics Development Gasoline Engines IAV GmbH 38518 Gifhorn Germany

ISBN: (纸本)0780393538

In this paper, a model-based fault diagnosis scheme for on-board diagnosis in spark ignition (SI) engine control systems is presented. The developed fault diagnosis system fully makes use of the available control structure and is embedded into the control loops. As a result, the implementation of the diagnosis system is realized with low demands on engineering costs, computational power and memory. The developed diagnosis scheme has been successfully applied to the air intake system of an SI-engine. ©2005 IEEE.

关键词： control system analysis

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Fault Detection of Networked control systems with Packet Dropout

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IFAC Proceedings Volumes 2008年第2期41卷 8884-8889页

作者： Y.Q. Wang S.X. Ding P. Zhang W. Li H. Ye G.Z. Wang Department of Automation Tsinghua University Beijing 100084 China Institute for Automatic Control and Complex Systems University of Duisburg-Essen Duisburg 47057 Germany

Fault detection of networked control systems with packet dropouts in both sensor-to-controller link and controller-to-actuator link is discussed in this paper. Two types of packet dropouts are considered. One is packet dropout characterized by a Bernoulli process, the other is characterized by a Markov chain. According to the system configuration, packet dropout in the sensor-to-controller link is known to the fault detection system, therefore a time varying parity space based residual generator which is fully decoupled from this influence is designed. Robustness to packet dropout in the controller-to-actuator link which is unknown is achieved by an adaptive threshold. Due to the known probability properties of the residual signal in parity space approach, upper bounds of false alarm rates of the designed thresholds are also given, which are very difficult to obtain in existent observer based fault detection approaches of networked control systems with packet dropout. It is verified that the proposed fault detection approach can also be realized by diagnostic observers by employing the relationship between parity vectors and observers.

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Randomized Algorithm Based Fault Detection System Design for Uncertain LTI systems

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IFAC-PapersOnLine 2017年第1期50卷 3648-3653页

作者： Krueger M. Koenings T. Liu Y. Ding S.X. Saijai J. Li L. Institute for Automatic Control and Complex Systems University of Duisburg-Essen Bismarckstr. 81 BB Duisburg 47048 Germany Department of Electrical Engineering Burapha UniversityChonburi 20131 Thailand School of Automation and Electrical Engineering University of Science and Technology Beijing Beijing 100083 China

This paper studies the design of fault detection (FD) system for uncertain linear time-invariant (LTI) systems based on randomized algorithms. With the help of probabilistic robustness techniques, an iterative design approach is proposed to determine the post-filter of observer-based residual generators with direct incorporation of the probability distribution of the model parameter uncertainties into the design procedure. The effectiveness of the proposed approach is demonstrated with an illustrative example. © 2017

关键词： Fault detection Randomized algorithm Uncertain systems

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Data-driven design of fault-tolerant control systems

Data-driven design of fault-tolerant control systems

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8th IFAC Symposium on Fault Detection, Supervision and Safety of Technical Processes, SAFEPROCESS 2012

作者： Ding, S.X. Wang, Y. Yin, S. Zhang, P. Yang, Y. Ding, E.L. Institute for Automatic Control and Complex Systems University of Duisburg-Essen 47057 Duisburg Germany Department of Mechanics and Aerospace Engineering Peking University Beijing China Department of Physical Engineering University of Applied Sciences Gelsenkirchen 45877 Gelsenkirchen Germany

ISBN: (纸本)9783902823090

In this paper, a scheme for the design of a fault-tolerant control architecture using process data is proposed, whose core is an observer-based realization of the Youla parameterization of all stabilization controllers. The realization of a fault-tolerant control scheme based on the proposed architecture is demonstrated on a benchmark process. © 2012 IFAC.

关键词： Fault detection

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A data-driven fault detection approach for static processes with deterministic disturbances

A data-driven fault detection approach for static processes ...

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IEEE International Symposium on Industrial Electronics (ISIE)

作者： Hao Luo Steven X. Ding Kai Zhang Shen Yin Institute for Automatic Control and Complex Systems University of Duisburg-Essen Duisburg Germany Research Center of Intelligent Control and Systems Harbin Institute of Technology Harbin China

Based on the well established model-based fault detection techniques, in this paper, a data-driven fault detection approach for static processes with deterministic disturbances is proposed. The basic idea behind this approach is, first identify the maximum influence of the unknown input on the measurement using the fault-free recorded data, and then apply the existing model-based schemes to solve the fault detection problem. The performance and effectiveness of the proposed scheme are demonstrated through a laboratory continuous stirred tank heater (CSTH) setup.

关键词： Fault detection Monitoring Heating Temperature sensors Data models Vectors

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Process Monitoring and Fault Diagnosis – Status and Applications

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IFAC Proceedings Volumes 2011年第1期44卷 12401-12406页

作者： P. Zhang T. Jeinsch S.X. Ding P. Liu Institute for Automatic Control and Complex Systems University of Duisburg-Essen 47057 Duisburg Germany IAV GmbH Rockwellstrasse 16 38518 Gifhorn Germany

Abstract This paper surveys the current situation of industrial applications of process monitoring and fault diagnosis (FD). At first, opportunities and challenges faced by advanced FD in industrial applications are discussed. Then, the state of the art of advanced FD applications is reviewed. Finally, some ideas and speculations on future developments of process monitoring and fault diagnosis for large-scale industrial applications are given.

关键词： Process monitoring fault diagnosis industrial application advanced approaches

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A Note on Unknown Input Fault Detection Filter Design

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IFAC Proceedings Volumes 2008年第2期41卷 5523-5528页

作者： S.X. Ding A.Q. Khan Y.Q. Wang M. Abid Institute of Automatic Control and Complex Systems University of Duisburg-Essen 47057-Duisburg Germany Department of Automation Tsinghua University Beijing 100084 China

This note addresses the problems related to the design of fault detection filters which are perfectly decoupled from unknown inputs. The major focuses are on the study of existence conditions, the design of reduced order and minimum order fault detection filters. For the design purpose, different algorithms are provided. The achieved results are finally illustrated by an example.

关键词： Fault detection filter residual generator perfect unknown input decoupling geometric approach inverted pendulum model

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A systematic approach to observer design for the air-intake of combustion engines.

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IFAC Proceedings Volumes 2011年第1期44卷 12407-12412页

作者： Georg Nau Andreas de Moll Steven X. Ding Nick Weinhold Matthias Schultalbers Institute of complex systems and automatic control (AKS) 47057 Duisburg Germany Ingenieurgesellschaft Auto und Verkehr GmbH (IAV) 38518 Gifhorn Germany

Abstract In this paper a systematic approach to observer design is presented for the assumption, that the plant model is not available in analytic form but only as a numerical model and that the resulting observer should use minimal computational resources. Both assumptions are frequently met in the field of real time engine management systems. To cope with this assumptions a gain-scheduling design is presented that is based on a numerically computed linearization. It is also presented how such an observer, designed for control optimized performance, can also be used to improve the performance of on-board diagnosis (OBD) in engine management systems.

关键词： engine management embedded systems discrete time systems gain-scheduling LMI automated design diagnosis

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A sensor management scheme and its application to internal combustion engines

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IFAC Proceedings Volumes 2010年第18期43卷 595-602页

作者： Andreas de Moll Steven X. Ding Georg Nau Nick Weinhold Matthias Schultalbers Institute of complex systems and automatic control (AKS) 47057 Duisburg Germany Ingenieurgesellschaft Auto und Verkehr GmbH (IAV) 38518 Gihorn Germany

In this paper, a step by step scheme for evaluating different sensor-configurations is proposed and applied to the airpath of internal combustion engines. The evaluation is based on a linear multiple model approach which describes the nonlinear system behavior in different operating points. The overall goal of evaluating sensor-configurations is to reconstruct the states of the process in the presence of measurement noises, disturbances and a system model with deviations caused by an forward euler discrete implementation, as exactly as possible. In a three step framework, first structural process information, then quantitative information on observability and at last a (sub)-optimal full state observer structure is designed and evaluated for possible sensor-configurations.

关键词： engine management sensor management sensor placement structural analysis observability analysis LMI

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