Deep Learning Model for Industrial Leakage Detection Using Acoustic Emission Signal

Deep Learning Model for Industrial Leakage Detection Using Acoustic Emission Signal

Intelligent fault diagnosis methods have replaced time consuming and unreliable human analysis, increasing anomaly detection efficiency. Deep learning models are clear cut techniques for this purpose. This paper’s fundamental purpose is to automatically detect leakage in tanks during production with...

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Bibliographic Details
Main Authors:	Masoumeh Rahimi, Alireza Alghassi, Mominul Ahsan, Julfikar Haider
Format:	Article
Language:	English
Published:	MDPI AG 2020-11-01
Series:	Informatics
Subjects:	1D convolution neural network FFT fault detection feature extraction
Online Access:	https://www.mdpi.com/2227-9709/7/4/49

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