Journal ArticleDOI
Fault diagnosis in dynamic systems using analytical and knowledge-based redundancy—a survey and some new results
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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.About:
This article is published in Automatica.The article was published on 1990-05-01. It has received 3313 citations till now. The article focuses on the topics: Fault detection and isolation & Robustness (computer science).read more
Citations
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Proceedings ArticleDOI
Actuator and sensor fault diagnosis of nonlinear dynamic systems via genetic neural networks and adaptive parameter estimation technique
M. Borairi,H. Wang +1 more
TL;DR: In this paper, a novel approach to the fault detection and diagnosis of actuators and sensors in nonlinear systems is presented, where an adaptive diagnostic model incorporating the estimate of the fault is constructed.
Journal ArticleDOI
A direct/functional redundancy scheme for fault detection and isolation on an aircraft
TL;DR: A novel nonlinear observer based approach is proposed; this approach exploits the so-called Unknown Input Observer (UIO) theory and guarantees disturbance decoupling with an H ∞ performance level.
Proceedings ArticleDOI
Matching patterns from historical data using PCA and distance similarity factors
Ashish Singhal,Dale E. Seborg +1 more
TL;DR: The diagnosis of abnormal plant operation can be greatly facilitated if periods of similar plant performance can be located in the historical database, and a novel methodology is proposed for this pattern matching problem.
Journal ArticleDOI
Operator-based robust nonlinear control and fault detection for a Peltier actuated thermal process
Shengjun Wen,Mingcong Deng +1 more
TL;DR: For pursuing robust stability and tracking performance of the nonlinear closed-loop control system, a design scheme of operator-based robust tracking control system is proposed by using robust right coprime factorization approach.
Journal ArticleDOI
Categorization of Anomalies in Smart Manufacturing Systems to Support the Selection of Detection Mechanisms
Felipe Lopez,Saez Miguel A,Yuru Shao,Efe C. Balta,James Moyne,Z. Morley Mao,Kira Barton,Dawn M. Tilbury +7 more
TL;DR: This letter categorizes anomalies in machines, controllers, and networks along with their detection mechanisms, and unify them under a common framework to aid in the identification of potential solutions in smart manufacturing systems.
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.
Journal ArticleDOI
Process fault detection based on modeling and estimation methods-A survey
TL;DR: 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.
Journal ArticleDOI
Analytical redundancy and the design of robust failure detection systems
E. Chow,Alan S. Willsky +1 more
TL;DR: In this article, a robust failure detection and identification (FDI) process is viewed as consisting of two stages: residual generation and decision making, and it is argued that a robust FDI system can be achieved by designing a robust residual generation process.
A survey of design methods for failure detection in dynamic systems
TL;DR: A number of methods for detecting abrupt changes (such as failures) in stochastic dynamical systems are surveyed in this paper, where tradeoffs in complexity versus performance are discussed, ranging from the design of specific failure-sensitive filters, to the use of statistical tests on filter innovations, and the development of jump process formulations.