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Ron J. Patton

Other affiliations: Universities UK, York University, University of York  ...read more
Bio: Ron J. Patton is an academic researcher from University of Hull. The author has contributed to research in topics: Fault detection and isolation & Robustness (computer science). The author has an hindex of 57, co-authored 351 publications receiving 19210 citations. Previous affiliations of Ron J. Patton include Universities UK & York University.


Papers
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Journal ArticleDOI
Ron J. Patton1
TL;DR: The aim of this article is to outline an review the state of the art and describe some of the studies of analytical methods of fault diagnosis procedures, based on fault monitoring in aircraft and spacecraft sensor systems.
Abstract: Performance requirements in aeronautics and the rapid growth of electronics, especially of digital computers, have gradually led to the combination of advanced control theories and fly-by-wire technology. This has resulted in designs for which the control systems are flight critical. The required reliability is usually achieved by a multiplication of sensors, computers and actuators accompanied by a voting system. The on-board computer provides the possibility of replacing the sensor hardware replication, which is very expensive, with a management of the functional or analytical redundancy constituted by the knowledge of the system. Different techniques have been proposed; the aim of this article is to outline an review the state of the art and describe some of the studies of analytical methods of fault diagnosis procedures, based on fault monitoring in aircraft and spacecraft sensor systems.

159 citations

Book
01 Apr 1998
TL;DR: In this article, the authors focus on eigenstructure assignment, a system design method used in control engineering that is widely used in the design of linear, time-invariant multivariable control systems.
Abstract: From the Publisher: Focuses on eigenstructure assignment -- a system design method used in control engineering. Specifically, eigenstructure assignment techniques are widely used in the design of linear, time-invariant multivariable control systems. Eigenvalues are the principal factors that govern the stability of the system and the rates of decay of the various portions of the system dynamic response.

156 citations

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TL;DR: The paper discusses the properties of several methods of combining quantitative and qualitative system information and their practical value for fault diagnosis of real process systems.

155 citations

Journal ArticleDOI
TL;DR: In this paper, the authors provide a tutorial overview of fault-tolerant control over the network for network control systems (NCS) that are likely to lead to good fault tolerant control properties, subject to network faults.

140 citations

Journal ArticleDOI
TL;DR: The main contribution of the paper is the development of the assignment of right observer eigenvectors for robust residual generation and the principles, existence conditions and design procedures are presented.
Abstract: This paper presents a theoretical and tutorial treatment of the eigenstructure assignment approach for robust fault detection. The principles, existence conditions and design procedures are presented. The main contribution of the paper is the development of the assignment of right observer eigenvectors for robust residual generation. When some of the observer right eigenvectors are assigned parallel to the disturbance distribution directions, the diagnostic residual generated by the observer is insensitive to disturbances. Robust fault-detection design can be achieved by either left or right eigenvector assignment method. For left eigenvector assignment method, the sufficient conditions are presented. For right eigenvector assignment method, both necessary and sufficient conditions are proposed. Finally, two numerical examples are used to illustrate the eigenstructure assignment methods studied in the paper. Copyright © 2000 John Wiley & Sons, Ltd.

125 citations


Cited by
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TL;DR: This historical survey compactly summarizes relevant work, much of it from the previous millennium, review deep supervised learning, unsupervised learning, reinforcement learning & evolutionary computation, and indirect search for short programs encoding deep and large networks.

14,635 citations

Journal ArticleDOI
TL;DR: This paper attempts to summarise and review the recent research and developments in diagnostics and prognostics of mechanical systems implementing CBM with emphasis on models, algorithms and technologies for data processing and maintenance decision-making.

3,848 citations

Journal ArticleDOI
TL;DR: A unified framework for the design and the performance analysis of the algorithms for solving change detection problems and links with the analytical redundancy approach to fault detection in linear systems are established.
Abstract: This book is downloadable from http://www.irisa.fr/sisthem/kniga/. Many monitoring problems can be stated as the problem of detecting a change in the parameters of a static or dynamic stochastic system. The main goal of this book is to describe a unified framework for the design and the performance analysis of the algorithms for solving these change detection problems. Also the book contains the key mathematical background necessary for this purpose. Finally links with the analytical redundancy approach to fault detection in linear systems are established. We call abrupt change any change in the parameters of the system that occurs either instantaneously or at least very fast with respect to the sampling period of the measurements. Abrupt changes by no means refer to changes with large magnitude; on the contrary, in most applications the main problem is to detect small changes. Moreover, in some applications, the early warning of small - and not necessarily fast - changes is of crucial interest in order to avoid the economic or even catastrophic consequences that can result from an accumulation of such small changes. For example, small faults arising in the sensors of a navigation system can result, through the underlying integration, in serious errors in the estimated position of the plane. Another example is the early warning of small deviations from the normal operating conditions of an industrial process. The early detection of slight changes in the state of the process allows to plan in a more adequate manner the periods during which the process should be inspected and possibly repaired, and thus to reduce the exploitation costs.

3,830 citations

Book
27 Sep 2011
TL;DR: Robust Model-Based Fault Diagnosis for Dynamic Systems targets both newcomers who want to get into this subject, and experts who are concerned with fundamental issues and are also looking for inspiration for future research.
Abstract: There is an increasing demand for dynamic systems to become safer and more reliable This requirement extends beyond the normally accepted safety-critical systems such as nuclear reactors and aircraft, where safety is of paramount importance, to systems such as autonomous vehicles and process control systems where the system availability is vital It is clear that fault diagnosis is becoming an important subject in modern control theory and practice Robust Model-Based Fault Diagnosis for Dynamic Systems presents the subject of model-based fault diagnosis in a unified framework It contains many important topics and methods; however, total coverage and completeness is not the primary concern The book focuses on fundamental issues such as basic definitions, residual generation methods and the importance of robustness in model-based fault diagnosis approaches In this book, fault diagnosis concepts and methods are illustrated by either simple academic examples or practical applications The first two chapters are of tutorial value and provide a starting point for newcomers to this field The rest of the book presents the state of the art in model-based fault diagnosis by discussing many important robust approaches and their applications This will certainly appeal to experts in this field Robust Model-Based Fault Diagnosis for Dynamic Systems targets both newcomers who want to get into this subject, and experts who are concerned with fundamental issues and are also looking for inspiration for future research The book is useful for both researchers in academia and professional engineers in industry because both theory and applications are discussed Although this is a research monograph, it will be an important text for postgraduate research students world-wide The largest market, however, will be academics, libraries and practicing engineers and scientists throughout the world

3,826 citations

Journal ArticleDOI
TL;DR: In this article, the authors review the state of the art of fault detection and isolation in automatic processes using analytical redundancy, and present some new results with emphasis on the latest attempts to achieve robustness with respect to modelling errors.

3,313 citations