Ron J. Patton

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.

Robust H ∞ /μ fault diagnosis observer design

Abstract: This paper presents a new approach to the design of a robust observer-based fault detection scheme for diagnosing incipient faults, called the H ∞ / μ robust fault detection observer (RFDO) which takes into account of the robustness against disturbances and sensitivity to faults simultaneously. The approach has originated from the robust H ∞ / μ estimator which minimises the effect of disturbance on the estimation error and subsequently on the diagnostic residual. The effect of faults on the diagnostic residual is maximised by the proper selection of the performance bound and the estimation weighting matrix of the H ∞ robust estimator. Depending on the class of uncertainty modelling considered, one or two Riccati equations are required for the H ∞ estimator design. The H ∞ estimator can be designed to be robust against; disturbance only, disturbance and parameter uncertainty only, and disturbance and a large variety of modelling errors. The μ robust estimator assumes a block diagonal structure for uncertainty and can produce less conservative design. The approach has been applied to a third-order system example chosen to demonstrate special design features. The results show that the fault detection scheme can detect incipient faults effectively even in the presence of disturbances and modelling errors.

A robust LPV fault detection approach using parametric eigenstructure assignment

Abstract: In this paper, an eigenstructure assignment fault detection approach to linear time invariant (LTI) systems is extended to Linear Parameter Varying (LPV) systems. Fault detection filter design algorithms using eigenstructure assignment have been widely studied for LTI systems. However, LPV strategies are very useful for systems which have no unique equilibrium and are difficult to linearize. The parametric eigenstructure assignment approach is used to design an observer as a residual generator by viewing the varying parameters as fixed parameters in the design procedure. The residual observer feedback structure is implemented using a measured scheduling parameter An example is given of actuator fault detection of a two-link manipulator system.

Detection of abrupt changes: theory and application

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.

Robust Model-Based Fault Diagnosis for Dynamic Systems

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