The use of dimensionality reduction techniques for fault detection and diagnosis in a AHU unit: critical assessment of its reliability-Reference-Cited by-同舟云学术

The use of dimensionality reduction techniques for fault detection and diagnosis in a AHU unit: critical assessment of its reliability

Author:

Geoffroy Hugo¹,Berger Julien²,Colange Benoît³,Lespinats Sylvain³,Dutykh Denys⁴⁵

Affiliation:

1. Univ. Grenoble Alpes, Univ. Savoie Mont Blanc, CNRS, LOCIE, 73000 Chambéry, France

2. Laboratoire des Sciences de l'Ingénieur pour l'Environnement (LaSIE), UMR 7356, CNRS, La Rochelle Université, La Rochelle 17000, France

3. INES, Univ. Grenoble Alpes, Le Bourget du Lac F-73375, France

4. Mathematics Department, Khalifa University of Science and Technology, PO Box 127788, Abu Dhabi, United Arab Emirates

5. Univ. Grenoble Alpes, Univ. Savoie Mont Blanc, CNRS, LAMA, 73000 Chambéry, France

Funder

European Regional Development Fund

Publisher

Informa UK Limited

Subject

Computer Science Applications,Modeling and Simulation,Building and Construction,Architecture

Link

Reference28 articles.

3. Cayton, L. 2005. “Algorithms for Manifold Learning.” Technical Report, Univ. of California at San Diego.

4. Colange, B. 2022. “Adaptive Student Kernel Imbedding (ASKI) for Dimensionality Reduction [Source Code].” https://doi.org/10.24433/CO.4712556.v1

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