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
Interval Sliding Mode Observer Based Incipient Sensor Fault Detection With Application to a Traction Device in China Railway High-Speed
TL;DR: The interval bounds for continuous nonlinear functions and new injection functions are constructed to design ISMOs and an incipient fault detection framework with newly designed residual and threshold generators is proposed.
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Fault detection for linear uncertain systems with sensor faults
Guang-Hong Yang,Heng Wang +1 more
TL;DR: In this paper, a steady-state-based approach is proposed to detect sensor faults with arbitrary small magnitudes, which can be used to detect lock-in-place sensor faults.
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Fault detection for linear distributed-parameter systems using finite-dimensional functional observers
TL;DR: Finite-dimensional residual generators are directly designed for Riesz-spectral systems with bounded input and output operators to detect faults by using finite-dimensional observers, that can estimate linear functionals of the state without spillover.
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Fault diagnostic systems for agricultural machinery.
TL;DR: In this paper, a systematic and comparative study of various fault diagnostic methods, from an agricultural machinery perspective, is provided in which the authors emphasize the importance of introducing more advanced multivariate fault diagnostic systems on agricultural machinery.
Implementing an Expert Diagnostic Assistance System for Car Failure and Malfunction
Salama A. Mostafa,Mohd Sharifuddin Ahmad,Mazin Abed Mohammed,Omar Ibrahim Obaid,Selangor Darul Ehsan +4 more
TL;DR: The imperatives for an ES in developing car failure detection model and the requirements of constructing successful Knowledge-Based Systems (KBS) for such model are presented.
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.
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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.
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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.