Journal ArticleDOI
Fault diagnosis in dynamic systems using analytical and knowledge-based redundancy—a survey and some new results
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TLDR
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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Journal ArticleDOI
Sensor Fault Detection, Isolation, and Identification Using Multiple-Model-Based Hybrid Kalman Filter for Gas Turbine Engines
TL;DR: In this paper, the authors proposed a fault detection and isolation (FDI) scheme based on multiple hybrid Kalman filters (MHKFs), which represents an integration of a nonlinear mathematical model of the system with a number of piecewise linear (PWL) models.
Journal ArticleDOI
Implicit fault-tolerant control: application to induction motors
TL;DR: It is shown how the nonlinear output regulation theory can be successfully adopted in order to design a regulator able to offset the effect of all possible faults which can occur and, in doing so, also to detect and isolate the occurred fault.
Journal ArticleDOI
Diagnostic bond graphs for online fault detection and isolation
Arun Kumar Samantaray,Kamal Medjaher,B. Ould Bouamama,Marcel Staroswiecki,Geneviève Dauphin-Tanguy +4 more
TL;DR: Bond graph modelling is used in this paper to derive Analytical redundancy relations and to obtain the computational model in the case of non-resolvability of equations, and it is shown that DBG models can be used for online residual computation as well as for offline verification using process data from a database.
Proceedings Article
Fault detection and isolation for hybrid systems using structured parity residuals
TL;DR: In this paper, necessary and sufficient conditions are derived to guarantee the discernability between two modes and the complete FDI methodology, using parity residuals, is described, under the hypothesis that all modes are discernable.
Journal ArticleDOI
Detection and diagnosis of bearing and cutting tool faults using hidden Markov models
Tony Boutros,Ming Liang +1 more
TL;DR: In this paper, the discrete hidden Markov model (HMM) is applied to detect and diagnose mechanical faults in machining processes and rotating machinery, which is tested and validated successfully using two scenarios: tool wear/fracture and bearing faults.
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.