Data preprocessing method and fault diagnosis based on evaluation function of information contribution degree

DOI10.1155/2018/6565737zbMath1403.93183OpenAlexW2810359536WikidataQ129576769 ScholiaQ129576769MaRDI QIDQ1629560

Chenglin Wen, Siyu Ji

Publication date: 12 December 2018

Published in: Journal of Control Science and Engineering (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1155/2018/6565737

zbMATH Keywords

neural networkKalman filterfault diagnosisevaluation function

Mathematics Subject Classification ID

Filtering in stochastic control theory (93E11) Learning and adaptive systems in artificial intelligence (68T05) Neural networks for/in biological studies, artificial life and related topics (92B20) Estimation and detection in stochastic control theory (93E10)

Uses Software

• UCI-ml

Cites Work

• A Recursive Restricted Total Least-Squares Algorithm
• A Resilient Approach to Distributed Filter Design for Time-Varying Systems Under Stochastic Nonlinearities and Sensor Degradation
• Recursive filtering for state‐saturated systems with randomly occurring nonlinearities and missing measurements
• On Kalman-Consensus Filtering With Random Link Failures Over Sensor Networks

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