Journal ArticleDOI
Process fault detection based on modeling and estimation methods-A survey
TLDR
This contribution presents a brief summary of some basic fault detection methods, followed by a description of suitable parameter estimation methods for continuous-time models.About:
This article is published in Automatica.The article was published on 1984-07-01. It has received 2367 citations till now. The article focuses on the topics: Fault detection and isolation & Process modeling.read more
Citations
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Journal ArticleDOI
Modelling for fault detection and isolation versus modelling for control
TL;DR: In this article, the authors emphasize both the particularities of models needed for model-based fault detection and isolation (FDI) and the differences with respect to the models used in control.
Journal ArticleDOI
Metal matrix composite from recycled materials by using additive manufacturing assisted investment casting
TL;DR: In this article, a novel method of additive manufacturing (AM) assisted investment casting (IC) has been demonstrated by using the patterns prepared from waste materials reinforced with ceramic particles for development of a metal matrix composite (MMC).
Journal ArticleDOI
Sensitivity of failure detection using generalized observers
Horacio J. Marquez,C.P. Diduch +1 more
TL;DR: To overcome the limits on achievable sensitivity imposed by the structure of classical state space observers, a new General Observer structure is proposed, which provides additional degrees of freedom in shaping the observer sensitivity.
Proceedings ArticleDOI
Fault detection and diagnosis for satellite's attitude control system (ACS) using an interactive multiple model (IMM) approach
TL;DR: In this paper, the authors developed a fault diagnosis, isolation and detection technique that is constructed based on the interacting multiple model (IMM) algorithm for partial (soft) or total (hard) reaction wheel failures in the spacecraft attitude control system (ACS).
Proceedings Article
Multi-sensor fault recovery in the presence of known and unknown fault types
TL;DR: An efficient online, hybrid, Bayesian multi-sensor fusion algorithm for target tracking in the presence of modelled and unmodelled faults and a computationally efficient and decentralisable hybrid of two standard approaches to fault detection.
References
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Journal ArticleDOI
Paper: A survey of design methods for failure detection in dynamic systems
TL;DR: This paper surveys a number of methods for the detection of abrupt changes in stochastic dynamical systems, focusing on the class of linear systems, but the basic concepts carry over to other classes of systems.
Book
Digital Control Systems
TL;DR: This chapter introduces the z-Transform, a new type of transform that combines Laplace Transforms, z-Transforms and Modified Z-TRANSFORMS with Convolution Integral to achieve state-of-the-art control of Discrete-Data Systems.
Journal ArticleDOI
Correspondence item: An innovations approach to fault detection and diagnosis in dynamic systems
R. K. Mehra,J. Peschon +1 more
TL;DR: A general approach to fault detection, diagnosis and prognosis in systems describable by mathematical models is outlined, based on System Theory and Statistical Decision Theory.
Dissertation
Failure accomodation in linear systems through self-reorganization.
TL;DR: In this article, the authors present a model for the first unmanned aerial vehicle (UAV) and demonstrate its performance in the first flight test of the UAV-A1.
Journal ArticleDOI
Parameter estimation for continuous-time models-A survey
TL;DR: The paper reviews the progress of research on parameter estimation for continuous-time models of dynamic systems over the period 1958-1980 and includes a classification system which conforms as closely as possible to that which has arisen naturally over the past two decades.