Incremental dictionary learning for fault detection with applications to oil pipeline leakage detection
Author:
Publisher
Institution of Engineering and Technology (IET)
Subject
Electrical and Electronic Engineering
Link
https://digital-library.theiet.org/content/journals/10.1049/el.2011.1573?crawler=true&mimetype=application/pdf
Reference6 articles.
1. Analysis of the smallest detectable leakage flow rate of negative pressure wave-based leak detection systems for liquid pipelines
2. Emergence of simple-cell receptive field properties by learning a sparse code for natural images
3. Some informational aspects of visual perception.
4. Feature separation using ICA for a one-dimensional time series and its application in fault detection
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