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
Time-varying system identification using modulating functions and spline models with application to bio-processes
Sridhar Ungarala,Tomas B. Co +1 more
TL;DR: Pearson–Lee method is generalized for non-stationary continuous-time systems and the on-line version is developed and it is shown that it is not necessary to assume a growth model in order to estimate the kinetic rate parameters.
Journal ArticleDOI
A Sparse Autoencoder-Based Unsupervised Scheme for Pump Fault Detection and Isolation
TL;DR: A fault detection and isolation scheme based on an unsupervised machine learning method, sparse autoencoder (SAE), and evaluates the model on industrial multivariate data shows that SAE performs better in terms of fault detection than PCA, and can effectively isolate the abnormal variables.
Proceedings ArticleDOI
Statistical Detection of Alarm Conditions in Building Automation Systems
TL;DR: A method for the automatic detection of abnormal behavior in a building automation system is compared to a standard system for problem detection, based on statistical models of sensor behavior.
Journal ArticleDOI
On-line diagnostics in the Mobile Spatial coordinate Measuring System (MScMS)
Fiorenzo Franceschini,Maurizio Galetto,Domenico Augusto Francesco Maisano,Luca Mastrogiacomo +3 more
TL;DR: The paper focuses on the description of these three on-line diagnostic tools: “energy model-based diagnostics”, “distance model- based diagnostics" and “sensor physical diagnostic”.
Journal ArticleDOI
Detection and identification of axial flow compressor instabilities
TL;DR: A new approach to failure detection and identification is proposed that combines an analytic estimation method and an intelligent identification scheme in such a way that sensitivity to true failure modes is enhanced while the possibility of false alarms is reduced.
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.