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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Journal ArticleDOI
Fault detection and isolation in non-linear stochastic systems: A combined adaptive Monte Carlo filtering and likelihood ratio approach
Ping Li,Visakan Kadirkamanathan +1 more
TL;DR: In this paper, the faults are modelled as unknown changes in system parameters and adaptive Monte Carlo filtering approach is used in deriving an FDI scheme, and the likelihood functions of the observations are then evaluated using the particles from these (adaptive) Monte Carlo filters and FDI is eventually achieved via the likelihood ratio test.
Patent
Univariate method for monitoring and analysis of multivariate data
TL;DR: In this article, a method and system of monitoring multivariate process data in a process plant is presented, where each process variable is defined as a process variable vector comprising a set of observation components, where the set of observations comprises time dependent process data corresponding to the observations of the process variable.
Journal ArticleDOI
Machine fault detection by signal denoising-with application to industrial gas turbines
TL;DR: In this article, the authors proposed a new methodology of machine fault detection for industrial gas turbine (IGT) systems using the integrated use of empirical mode decomposition (EMD), principal component analysis (PCA) and Savitzky-Golay (S-G) adaptive filtering.
Journal ArticleDOI
Intelligent Decision Support System for Detection and Root Cause Analysis of Faults in Coal Mills
TL;DR: A model-based residual evaluation approach, which is capable of online fault detection and diagnosis of major faults occurring in the milling system, is proposed and shows that how fuzzy logic and Bayesian networks can complement each other and can be used appropriately to solve parts of the problem.
Journal ArticleDOI
Quantitative and qualitative models for fault detection and isolation
TL;DR: In this article, a unified view of model-based approaches for fault detection and isolation (FDI), taking as a guideline the different levels of the knowledge available about the monitored system, is developed.
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.