Fault detection based on signal reconstruction with Auto-Associative Extreme Learning Machines-Reference-Cited by-同舟云学术

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Fault detection based on signal reconstruction with Auto-Associative Extreme Learning Machines

Published:2017-01 Issue: Volume:57 Page:105-117
ISSN:0952-1976
Container-title:Engineering Applications of Artificial Intelligence
language:en
Short-container-title:Engineering Applications of Artificial Intelligence

Author:

Hu Yang,Palmé Thomas,Fink Olga

Funder

Swiss Commission for Technology and Innovation

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Artificial Intelligence,Control and Systems Engineering

Reference35 articles.

1. Statistical process control charts for batch operations based on independent component analysis;Albazzaz;Ind. Eng. Chem. Res.,2004

2. Reconstruction of missing data in multidimensional time series by fuzzy similarity;Baraldi;Appl. Soft Comput.,2014

3. Robust signal reconstruction for condition monitoring of industrial components via a modified auto associative Kernel regression method;Baraldi;Mech. Syst. Signal Process.,2015

4. Comparison of data-driven reconstruction methods for fault detection;Baraldi;IEEE Trans. Reliab.,2015

5. Bandwidth selection for kernel conditional density estimation;Bashtannyk;Comput. Stat. Data Anal.,2001

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