Distance-Based Data Selection for Regression Models Used in an Adaptive Fault Detection Approach-Reference-Cited by-同舟云学术

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Distance-Based Data Selection for Regression Models Used in an Adaptive Fault Detection Approach

Published:2022 Issue: Volume: Page:
ISSN:1556-5068
Container-title:SSRN Electronic Journal
language:en
Short-container-title:SSRN Journal

Author:

Schadler Doris,Stadlober Ernst

Publisher

Elsevier BV

Subject

General Earth and Planetary Sciences,General Environmental Science

Reference42 articles.

1. A LPV modeling of turbocharged spark-ignition automotive engine oriented to fault detection and isolation purposes;G Gagliardi;Journal of the Franklin Institute,2018

2. Engine fault diagnosis combining model-based residuals and data-driven classifiers;D Jung;IFAC-PapersOnLine,2019

3. Combustion Engine Diagnosis

4. Fault detection for modern Diesel engines using signal-and process model-based methods;F Kimmich;Control Engineering Practice,2005

5. Automotive engine FDI by application of an automated model-based and datadriven design methodology;C Sv�rd;Control Engineering Practice,2013

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