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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Proceedings ArticleDOI
Improved SI engine modelling techniques with application to fault detection
TL;DR: In this article, the authors applied a fault detection strategy to a Jaguar car engine and used a nonlinear observer method to detect practical sensor faults and an air leak in the manifold.
Journal ArticleDOI
Optimal Selection of Unknown Input Distribution Matrix in the Design Of Robust Observers for Fault Diagnosis
Ron J. Patton,Jie Chen +1 more
TL;DR: In this paper, a method of computing the unknown input distribution matrix is proposed as a powerful alternative method to either reidentification of plant parameters arising from different operating points or to the use of non-linear residual generation.
Journal ArticleDOI
Minimizing Operating Costs of Vapor Compression Equipment with Optimal Service Scheduling
Todd M. Rossi,James E. Braun +1 more
TL;DR: In this paper, the authors used dynamic programming to obtain optimal service schedules and costs for cleaning the condensers and evaporators of air-conditioning equipment for a single building and location.
Aircraft Engine Sensor/Actuator/Component Fault Diagnosis Using a Bank of Kalman Filters
TL;DR: In this paper, a fault detection and isolation (FDI) system which utilizes a bank of Kalman filters is developed for aircraft engine sensor and actuator FDI in conjunction with the detection of component faults.
Proceedings ArticleDOI
Control effectiveness estimation using an adaptive Kalman estimator
N.E. Wu,Youmin Zhang,Kemin Zhou +2 more
TL;DR: An adaptive Kalman filtering algorithm is exploited for use to estimate the abrupt reduction of control effectiveness in dynamic systems by introducing a set of covariance-dependent forgetting factors into the filtering algorithm.
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.