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Data-driven based key performance index residual generation and its application on complex electrical equipment

19th International Conference on Industrial Engineering and Engineering Management

作者： Yao, Zhi-Gang Cheng, Li Wang, Yu-Lei Department of Optical and Electronic Shijiazhuang Mechanical Engineering College Shijiazhuang China Department of Mathematic Lishui University Lishui China Institute for Automatic Control and Complex Systems University of Duisburg-Essen Duisburg Germany

ISBN: (纸本)9783642372698

Motivated by the increasing needs for key performance index related fault detection in complex electrical equipments, this paper proposes the subspace aided data-driven robust fault detection technique. The main idea is to use the original test data to identify the residual generators firstly, and then make use of performance indices to design of robust residuals which are robustness to non-quality variables and sensitivity to quality variables. Robust and robust reduced order residual generations are proposed, and finally the proposed methods are certified by application on complex electrical equipment. © 2013 Springer-Verlag Berlin Heidelberg.

关键词： Fault detection

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MULTIOBJECTIVE DESIGN OF ROBUST FAULT DETECTION systems

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IFAC Proceedings Volumes 2006年第13期39卷 1378-1383页

作者： P. Zhang S.X. Ding Institute for Automatic Control and Complex Systems University of Duisburg-Essen Bismarckstr. 81 BB 47057 Duisburg Germany

This paper considers the multiobjective integrated design of fault detection systems for linear time-invariant systems with unknown inputs. First, the residual generator is designed in such a way that the residual is decoupled from the unknown inputs that mainly influence the system. Then, the rest freedom is used to improve the robustness of the residual generator to other unknown inputs and its sensitivity to faults. By virtue of the close relationship between the parity space approach and the observer based approach, the order of the residual generator can be kept at a low and flexible level.

关键词： Fault detection Parity space approach Observer Robustness Sensitivity multiobjective design

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Fault Detection System Design for Networked control System with Stochastically Varying Transmission Delays

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IFAC Proceedings Volumes 2008年第2期41卷 7375-7380页

作者： I.M. Al-Salami S.X. Ding P. Zhang Institute for Automatic Control and Complex Systems University of Duisburg-Essen Bismarckstr. 81/BB 47057 Duisburg Germany

This paper studies the observer based fault detection problem in networked control systems. It is assumed that the transmission delays caused by the communication network are varying and their probability distribution is unknown but knowledge about its stochastic characteristics is known a priori . First the dynamic modelling of a proposed networked control system under different sampling frequencies using the packet-oriented data transmission method is derived. Based on this developed system model, an approach for fault detection system is presented. Main attention is paid to the residual evaluation task in order to reduce false alarm rate caused by the uncertainties due to the effect of the communication network. A study based on simulation platform to verify the results is given.

关键词： Fault detection networked control system statistical evaluation stochastic varying delays packet-oriented data transmission false alarm rate

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CCA-Based Fault Detection Scheme with application to Multimode Processes

CCA-Based Fault Detection Scheme with application to Multimo...

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第26届中国过程控制会议（CPCC2015）

作者： Chen Zhiwen Zhang Kai Ding X.Steven Hu Zhikun Institute for Automatic Control and Complex Systems University of Duisburg-Essen Central South University

Canonical correlation analysis(CCA) can be implemented to monitor a linear process when the input-output relationship is explicitly existing. However, the conventional CCA method may not be well-suited to monitor and detect the fault in multimode processes. In this paper, a novel approach is proposed based on CCA for addressing this problem. The multiple model is assumed to follow a Gaussian mixture model. With the help of EM algorithm, firstly, the parameters of mixture model could be estimated. Then a Bayesian inference based test index is developed to detect the faults. The validity and effectiveness of the proposed monitoring approach are illustrated through two applications. The first one is a simple multivariate linear *** second one is a simulated continuous stirred tank heater(CSTH) benchmark process. The comparison of monitoring results in the two examples demonstrates that the proposed method is superior to the conventional CCA-based approach.

关键词： Multimode process monitoring fault detection canonical correlation analysis

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An improved detection statistic for systems with unsteady trend 19

An improved detection statistic for systems with unsteady tr...

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19th IFAC World Congress on International Federation of automatic control, IFAC 2014

作者： He, Zhangming Zhou, Haiyin Wang, Jiongqi Chen, Zhiwen Ding, Steven X. College of Science National University of Defense Technology Yanwachi 47 Changsha410073 China Institute for Automatic Control and Complex Systems University of Duisburg-Essen Bismarckstr. 81 BB Duisburg47057 Germany

ISBN: (纸本)9783902823625

The object of this paper is to address data-driven fault detection design for systems with unsteady trend, which shows cyclicity, monotonicity and non-zero mean. Firstly mean theorem and covariance theorem are proposed and proved. The former is the mean property of projection matrix, and the latter is the recursive formula for covariance matrix of regression residual. Secondly, an improved fault detection statistic, called Least Square T2 (LST2), is proposed. It can partly solve the detection problem for systems with unsteady trend. The improvement can also partly cope with the limitations of the traditional multivariate detection methods, such as Principal Component Analysis (PCA). Thirdly, based on the two theorems, a recursive algorithm and a moving window algorithm of LST2 are given, thus both time and space complexity are greatly reduced for online detection. The effectiveness of the presented detection statistic is evaluated with an application of monitoring satellite attitude control system. The case study result shows that the false alarm rate of LST2 is much lower than that of T2 based on PCA, while LST2 is more sensitive to fault. © IFAC.

关键词： Fault detection

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Dynamic functional — Link neural networks genetically evolved applied to fault diagnosis

Dynamic functional — Link neural networks genetically evolv...

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European control Conference (ECC)

作者： T. Marcu B. Köppen-Seliger P.M. Frank S.X. Ding University of Duisburg-Essen Institute of Automatic Control and Complex Systems (AKS) Duisburg Germany

The paper addresses the development of neural observer schemes for process fault diagnosis. The design is based on a generalised functional-link neural network with internal dynamics. An evolutionary search of genetic type and multi-objective optimisation in the Pareto-sense is used to determine the optimal architecture of the dynamic network. Symptoms characterising the current state of the process are obtained based on prediction errors. The latter are further evaluated by a static artificial network. Experimental results regarding the detection and isolation of artificial sensor faults in an evaporation station from a sugar factory illustrate the approach.

关键词： Artificial neural networks Sociology Statistics Genetics Genetic algorithms Computer architecture

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A canonical variate analysis based process monitoring scheme and benchmark study 19

A canonical variate analysis based process monitoring scheme...

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19th IFAC World Congress on International Federation of automatic control, IFAC 2014

作者： Chen, Zhiwen Zhang, Kai Hao, Haiyang Ding, Steven X. Krueger, Minjia He, Zhangming Institute for Automatic Control and Complex Systems University of Duisburg-Essen Bismarckstrasse 81 BB Duisburg47057 Germany College of Science National University of Defense Tech. Yanwachi 47 Changsha410073 China

ISBN: (纸本)9783902823625

Principal component analysis (PCA) and Partial least square (PLS) are powerful multivariate statistical tools that have been successfully applied for process monitoring. They are efficient in dimension reduction and are suitable for processing large amount of data. Nevertheless, their application scope is restricted to static processes where the dynamics are ignored. In order to achieve improved monitoring performance for dynamic processes, in this paper, we propose an effective dynamic monitoring scheme based on the canonical variate analysis (CVA) technique. Different from the standard PCA-and PLS-based techniques which rely on mean-extraction for residual generation, the proposed CVA-based scheme takes process dynamics into account as well. The properties of all three methods are then compared in detail and finally, the improvements of the proposed method are demonstrated on the well-accepted Tennessee Eastman benchmark process. © IFAC.

关键词： Principal component analysis

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An IIR filter based parity space approach for fault detection 15th

An IIR filter based parity space approach for fault detectio...

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15th World Congress of the International Federation of automatic control, 2002

作者： Ye, Hao Wang, Guizeng Ding, S.X. Su, Hongyu Department of Automation Tsinghua University Beijing100084 China Institute for Automatic Control and Complex Systems Duisburg University Duisburg47048 Germany Tsinghua Tongfang Co. Ltd. Beijing100084 China

ISBN: (纸本)9783902661746

In traditional parity space approaches, a parity vector with a low order means a simple online realization but a bad performance, while that with a high order leads to a good performance but an unacceptable calculation amount. In this paper, by introducing a simple scalar IIR (Infinite Impulse Response) filter, a new kind of parity relation based residual generator and the corresponding optimization approach are proposed. With the new approach, a residual generator can deliver a very good performance index but with a parity vector of low order. Simulation results are given. Copyright © 2002 IFAC.

关键词： IIR filters

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Fault detection for switched systems based on a deterministic method

Fault detection for switched systems based on a deterministi...

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IEEE Conference on Decision and control

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

This paper addresses fault detection (FD) issues for switched systems. The basic idea behind the proposed method is to estimate the disturbances and then use it in the evaluation function. The main contributions of this paper are summarized as follows: (1) develop a deterministic method for FD. (2) Improve the fault detection performance. (3) Enhance the fault detectability for the switched systems by utilizing the available information provided by each local sub-model in the residual generation, evaluation and threshold computation. The system under consideration in this paper is linear discrete-time switched systems. A switched residual signal will be generated based on the Parity Space approach. The proposed method will be illustrated by an example.

关键词： Switched systems Switches Standards Fault detection Estimation Vectors Nonlinear systems

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Observer-based fault detection schemes for linear uncertain systems 15th

Observer-based fault detection schemes for linear uncertain ...

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15th World Congress of the International Federation of automatic control, 2002

作者： Ding, S.X. Frank, P.M. Ding, E.L. Institute for Automatic Control and Complex Systems Gerhard-Mercator-Universitaet Duisburg Bismarckstrasse 81 BB Duisburg47048 Germany Dept. of Physical Engineering University of Applied Sciences Gelsenkirchen Gelsenkirchen45877 Germany

ISBN: (纸本)9783902661746

In this paper, fault detection problems for linear uncertain systems are studied. Instead of designing fault detection systems from the viewpoint of increasing the system robustness against unknown inputs and the sensitivity to the faults, an approach is proposed, which allows us to design fault detection systems in such a way that the missed detection rate is minimized for a given false alarm rate. Copyright © 2002 IFAC.

关键词： Fault detection

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