https://www2.econ.iastate.edu/tesfatsi/DeepLearningInNeuralNetworksOverview.JSchmidhuber2015.pdf

Deep learning in neural networks

A review on machinery diagnostics and prognostics implementing condition-based maintenance

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.

Detection of abrupt changes: theory and application

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

Robust Model-Based Fault Diagnosis for Dynamic Systems

Fault diagnosis in dynamic systems using analytical and knowledge-based redundancy—a survey and some new results

The eigenstructure assignment approach to fault detection and isolation (FDI) has been available for a number of years and now industrial applications are timely. This paper describes the application of this technique to the generation of robust residuals for FDI in a nuclear reactor coolant pumping system. The research is being evaluated through a real application project at the Heysham 2 power station (Nuclear Electric) and AEA technology (Risley).

http://ieeexplore.ieee.org/iel4/5246/14213/00651356.pdf

An application of eigenstructure assignment to robust residual design for FDI

Robust Fault Detection in Descriptor Linear Systems Via Generalised Unknown Input Observers

http://www.nt.ntnu.no/users/skoge/prost/proceedings/ifac11-proceedings/data/html/papers/0586.pdf

Fault estimation and MRC-based active FTC

In recent years the control of Wave Energy Conversion (WEC) systems has been a challenging research topic. A 1/50th scale buoy system has been constructed at the University of Hull for modelling, verification and control. This study focuses on the time-varying state space model development of this direct-drive WEC with a tubular permanent magnet linear generator (TPMLG). A new form of control is developed, with (i) an adaptive impedance tuning system based on a mechanical-electrical analogue, and (ii) position and current tracking for power maximisation, physical constraint realisation and generator dynamic linearisation. Simulation results of regular and irregular waves indicate this control strategy can achieve an acceptable energy conversion efficiency.

A continuous control approach to point absorber wave energy conversion

This paper presents a new method for the design of constant-gain controllers for digital aircraft systems monitored and updated at multiple frequencies. It addresses two main problems associated with such a scheme: the adverse effects of intersample cross coupling and the high-amplitude control signals that normally result from a multirate feedback structure. An examination of the problem indicates that the two objectives present conflicting design criteria. Thus, a solution must seek to achieve an acceptable compromise between the minimization of control effort and the assignment of a prescribed modal structure. An unconstrained numerical optimization procedure, based on eigenstructur e assignment using full-state feedback, has been developed to provide for this compromise. A suitable choice of weighting factors, introduced into the scalar cost function defined for the optimization, allows for the computation of two alternative control laws. They differ only in the emphasis placed on the two conflicting design objectives. The lateral motion of a light aircraft is the test system employed to illustrate the application of the method. The controllers are evaluated using a fully nonlinear simulation of the aircraft. The results fully demonstrate the eigeninsensitivity of the multirate feedback solution and the flexibility offered by the eigenstructure-assignment optimization approach in both cases.

Ron J. Patton

Papers

An application of eigenstructure assignment to robust residual design for FDI

Robust Fault Detection in Descriptor Linear Systems Via Generalised Unknown Input Observers

Fault estimation and MRC-based active FTC

A continuous control approach to point absorber wave energy conversion

Design of Insensitive Multirate Aircraft Control Using Optimized Eigenstructure Assignment