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
A unified geometric approach to process and sensor fault identification and reconstruction : The unidimensional fault case
Ricardo Dunia,S. Joe Qin +1 more
TL;DR: In this paper, the authors proposed a fault detection and process monitoring approach using principal component analysis (PCA) for industrial processes, which can represent process as well as sensor faults using a unified geometric approach.
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Sensor and actuator fault diagnosis of systems with discrete inputs and outputs
Jan Lunze,Jochen Schröder +1 more
TL;DR: The paper describes a method for detecting and identifying faults that occur in the sensors or in the actuators of dynamical systems with discrete-valued inputs and outputs and the model used in the diagnosis is a stochastic automaton.
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Fault Estimation: A Standard Problem Approach
TL;DR: In this article, a range of optimization based approaches to fault diagnosis are presented, including (1) fault diagnosis (fault estimation, (FE)) for systems with model uncertainties; (2) fault estimation (FE) for system with parametric faults; and (3) FE for a class of nonlinear systems.
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Actuator fault estimation observer design for discrete-time linear parameter-varying descriptor systems
TL;DR: In this paper, the fault estimation observer design is formulated as a Linear Matrix Inequality (LMI) feasibility problem, and all parameters of the observer can be simultaneously designed by solving a set of strict LMIs.
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Brief paper: Kalman filters in non-uniformly sampled multirate systems: For FDI and beyond
TL;DR: A Kalman filter-based methodology for unified detection and isolation of sensor, actuator, and process faults in the NUSM system with analysis on fault detectability and isolability is investigated.
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.