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
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Patent
Self-validated measurement systems
TL;DR: In this article, a new measurement associated with the process control system and corresponding uncertainty data for the new measurement may be determined based on the sensed values and uncertainty data received from the multiple sensors.
Book ChapterDOI
An Anomaly Entection Algorithm Inspired by the Immune Syste
TL;DR: This chapter presents an anomaly Entection algorithm inspired by the negative-selection mechanism of the immune system, which discriminates betweensell andother, which has the advantage of not requiring prior knowledge about all possible failure moEns of the monitored system.
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Transient pattern analysis for fault detection and diagnosis of HVAC systems
TL;DR: In this paper, transient pattern analysis is explored as a tool for fault detection and diagnosis of an HVAC system, and the results show that the evolution of fault residuals forms clear and distinct patterns that can be used to isolate faults.
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Aeroengine Control System Sensor Fault Diagnosis Based on CWT and CNN
TL;DR: This paper proposes an intelligent fault diagnosis method for aeroengine sensors combining a deep learning algorithm with time-frequency analysis wherein the signal recognition problem is transformed into an image recognition problem.
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A new interpretation of the fault detection filter Part 1: Closed-form algorithm
Jaehong Park,Giorgio Rizzoni +1 more
TL;DR: In this paper, a novel interpretation of the detection filter in the context of an eigenstructure assignment problem is presented, which is equivalent to the combination of two decoupled observers, with the advantage that theories already developed for conventional observers can be utilized as design aids.
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.