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  • About
  • The Global ETD Search service is a free service for researchers to find electronic theses and dissertations. This service is provided by the Networked Digital Library of Theses and Dissertations.
    Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.
1

On the design of reconfigurable ripple carry adders and carry save multipliers /

Jang, Yi-Feng, January 1992 (has links)
Thesis (M.S.)--Virginia Polytechnic Institute and State University, 1992. / Vita. Abstract. Includes bibliographical references (leaves 78-79). Also available via the Internet.
2

Fault detection and fault-tolerant control for dynamic systems

Wang, Haibo., 王海波 January 2002 (has links)
published_or_final_version / Mechanical Engineering / Doctoral / Doctor of Philosophy
3

Fault recovery in process control

Horn, Timothy Andrew 05 February 2015 (has links)
Fault Recovery in process control requires effective fault detection, diagnosis and recovery schemes, and a fault-tolPi-ant system design. Fault detection and diagnosis involves creating a realistic model of the process, and using this model to analyse for fault conditions. The fault detection principles include feature extraction and pattern recognition, and analogue value limits and rate cf change limits. Fault recovery scheme? cover the realisation of redundancy ana back-up sub-systems, and state restoration techniques in the form of complete shutdowns, backward and forward recovery to a safe operating state. System design concepts include for the development of process control systems towards *hierarchical, level based distribution of functions. The level-based discussion is used as the basis for effective fault tolerant system design. Two case studies are included to show how fault recovery schemes were effected in a single process computer and in a distributed control system. Abstract
4

Multivariate subspaces for fault detection and isolation : with application to the wastewater treatment process /

Lennox, James. January 2001 (has links) (PDF)
Thesis (Ph. D.)--University of Queensland, 2002. / Includes bibliographical references.
5

Fault detection and fault-tolerant control for dynamic systems /

Wang, Haibo., January 2002 (has links)
Thesis (Ph. D.)--University of Hong Kong, 2002. / Includes bibliographical references (leaves 173-183).
6

Data driven approach for fault detection and identification using competitive learning

Babbar, Ashish January 2006 (has links)
Thesis (M.S.)--University of Hawaii at Manoa, 2006. / Includes bibliographical references (leaves 60-62). / ix, 62 leaves, bound ill. 29 cm
7

Nonlinear fault detection and diagnosis using kernel based techniques applied to a pilot distillation column

Phillpotts, David. January 2007 (has links)
Thesis (M.Eng.(Chemical Engineering))--Universiteit van Pretoria, 2007. / Abstract in English. Includes bibliographical references.
8

Monitoring and diagnosis of process faults and sensor faults in manufacturing processes

Li, Shan. Chen, Yong. January 2008 (has links)
Thesis supervisor: Yong Chen. Includes bibliographical references (p. 79-84).
9

Fault detection and fault-tolerant control for dynamic systems

Wang, Haibo., January 2002 (has links)
Thesis (Ph.D.)--University of Hong Kong, 2002. / Includes bibliographical references (leaves 173-183) Also available in print.
10

Fault detection and diagnosis and unknown input reconstruction based on parity equations concept

Sumislawska, M. January 2012 (has links)
There are two main threads of this thesis, namely, an unknown (unmeasurable) input reconstruction and fault detection and diagnosis. The developed methods are in the form of parity equations, i.e. finite impulse response filters of the available input and output measurements. In the first thread the design of parity equations for the purpose of an unknown input reconstruction of linear, time-invariant, discrete-time, stochastic systems is taken into consideration. An underlying assumption is that both measurable system inputs as well as the outputs can be subjected to noise, which leads to an errors-in-variables framework. The main contribution of the scheme is accommodation of the Lagrange multiplier method in order to minimise the influence of the noise on the unknown input estimate. Two potential applications of the novel input reconstruction method are proposed, which are a control enhancement of a hot strip steel rolling mill and an estimation of a pollutant level in a river. Furthermore, initial research is conducted in the field of the unknown input recon- struction for a class of nonlinear systems, namely, Hammerstein-Wiener systems, where a linear dynamic block is preceded and followed by a static nonlinear function. Many man-made as well as naturally occurring systems can be accurately described using Hammerstein-Wiener models. However, it is considered that not much attention has been paid to Hammerstein-Wiener systems in the errors-in-variables framework and in this thesis it is aimed to narrow this gap. The second thread considers a problem of robust (disturbance decoupled) fault de- tection as well as fault isolation and identification. Unmeasurable external stimuli, parameter variations or discrepancies between the system and the model act as distur- bances, which can obstruct the fault detection process and lead to false alarms. Thus, a fault detection filter needs to be decoupled from the disturbances. In this thesis the right eigenstructure assignment method used for the robust fault detection filter design is extended to systems with unstable invariant zeros. Another contribution re- gards the design of robust parity equations of any arbitrary order using both left and right eigenstructure assignment. Furthermore, a parity equation-based fault isolation and identification filter is designed which provides an estimate of the fault. A simple method for the calculation of thresholds whose violation indicates a fault occurrence is also proposed for the errors-in-variables framework.

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