Journal ArticleDOI
Process fault detection based on modeling and estimation methods-A survey
TLDR
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.About:
This article is published in Automatica.The article was published on 1984-07-01. It has received 2367 citations till now. The article focuses on the topics: Fault detection and isolation & Process modeling.read more
Citations
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Journal ArticleDOI
Implementation issues concerning the EKF-based fault diagnosis techniques
Chuei-Tin Chang,Jen-Wen Chen +1 more
TL;DR: In this article, the authors extended the findings of their previous research on diagnostic observability and diagnostic resolution concerning a set of parallel single-parameter EKFs (Chang et al., 1993, A.I.Ch.E. 39, 1146) to the multiple-parallel EKF which are designed to identify more than one fault origin.
ReportDOI
Methods for Automated and Continuous Commissioning of Building Systems
TL;DR: In this article, a study of pervasive operating problems reveled the following would most benefit from an automated and continuous commissioning process: (1) faulty economizer operation; (2) malfunctioning sensors; (3) malfunctioned valves and dampers, and (4) access to project design data.
Proceedings ArticleDOI
Interacting multiple model algorithm with maximum likelihood estimation for FDI
Jifeng Ru,X. Rong Li +1 more
TL;DR: The results show that the proposed IM/sup 3/L approach provides not only fast detection and proper identification but also good estimation of the failure extent as well as robust state estimation.
Journal ArticleDOI
A digital-signal-processor-based measurement system for on-line fault detection
TL;DR: In this paper, the design, construction, and setting up of a measurement apparatus, based on an architecture using two parallel digital signal processors (DSP's), for on-line fault detection in electric and electronic devices.
Journal ArticleDOI
Improving heat exchanger supervision using neural networks and rule based techniques
TL;DR: A novel supervision strategy is proposed, reporting innovative techniques and main results of an application tool to diagnose the heat transfer efficiency of a heat exchanger of a pilot plant using neural network based models and parity space approaches associated to a rule based decision making strategy.
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.
Book
Digital Control Systems
TL;DR: This chapter introduces the z-Transform, a new type of transform that combines Laplace Transforms, z-Transforms and Modified Z-TRANSFORMS with Convolution Integral to achieve state-of-the-art control of Discrete-Data Systems.
Journal ArticleDOI
Correspondence item: An innovations approach to fault detection and diagnosis in dynamic systems
R. K. Mehra,J. Peschon +1 more
TL;DR: A general approach to fault detection, diagnosis and prognosis in systems describable by mathematical models is outlined, based on System Theory and Statistical Decision Theory.
Dissertation
Failure accomodation in linear systems through self-reorganization.
TL;DR: In this article, the authors present a model for the first unmanned aerial vehicle (UAV) and demonstrate its performance in the first flight test of the UAV-A1.
Journal ArticleDOI
Parameter estimation for continuous-time models-A survey
TL;DR: The paper reviews the progress of research on parameter estimation for continuous-time models of dynamic systems over the period 1958-1980 and includes a classification system which conforms as closely as possible to that which has arisen naturally over the past two decades.