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2018 | OriginalPaper | Buchkapitel

Selection of Steady State Time-Periods for Monitoring an Industrial Heat Exchanger

verfasst von : Yuqi Wang, Jean-Philippe Cassar, Vincent Cocquempot, Anne-Sophie Guilbert

Erschienen in: Advanced Solutions in Diagnostics and Fault Tolerant Control

Verlag: Springer International Publishing

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Abstract

The paper proposes a method to select time-periods in which the measured data conform to steady-state conditions. This selection is the first step of any monitoring method based on estimating parameters of a static model. The proposed method is based on a local polynomial modeling of the data evolution and deals with multivariate data by applying principal component analysis. This method is applied on data collected from an industrial heat exchanger to monitor its heat exchange capacity.

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Metadaten
Titel
Selection of Steady State Time-Periods for Monitoring an Industrial Heat Exchanger
verfasst von
Yuqi Wang
Jean-Philippe Cassar
Vincent Cocquempot
Anne-Sophie Guilbert
Copyright-Jahr
2018
DOI
https://doi.org/10.1007/978-3-319-64474-5_31