Pipeline leak diagnosis based on wavelet and statistical features using Dempster–Shafer classifier fusion technique

Title
Pipeline leak diagnosis based on wavelet and statistical features using Dempster–Shafer classifier fusion technique
Authors
Keywords
Leak diagnosis, Multi-Layer Perceptron Neural Network (MLPNN) classifier, Wavelet transform, Statistical features, Dempster–Shafer (D–S) classifier fusion, Correct Classification Rate (CCR), OLGA software
Journal
PROCESS SAFETY AND ENVIRONMENTAL PROTECTION
Volume 105, Issue -, Pages 156-163
Publisher
Elsevier BV
Online
2016-11-10
DOI
10.1016/j.psep.2016.11.002

Ask authors/readers for more resources

Reprint

Contact the author

Publish scientific posters with Peeref

Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.

Learn More

Add your recorded webinar

Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.

Upload Now