Supervised learning-based classification of acoustic emission and vibration signal for identifying condition change of district heating system-Reference-Cited by-同舟云学术

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Supervised learning-based classification of acoustic emission and vibration signal for identifying condition change of district heating system

Published:2023-10 Issue: Volume:220 Page:113388
ISSN:0263-2241
Container-title:Measurement
language:en
Short-container-title:Measurement

Author:

Wook Ji Hyon,Lee Hongcheol,Hwang Inju

Funder

Korea Institute of Construction Technology

Publisher

Elsevier BV

Subject

Applied Mathematics,Electrical and Electronic Engineering,Condensed Matter Physics,Instrumentation

Reference20 articles.

1. Korea District Heating Corporation, https://www.kdhc.co.kr/kdhc/main/contents.do?menuNo=200147. (accessed 14 April, 2023).

2. Public data portal, https://www.data.go.kr/data/15002877/fileData.do. (accessed 10 January 2022).

3. Development of a Failure Probability Model based on Operation Data of Thermal Piping Network in District Heating System;Kim;Korean Chem. Eng. Res.,2017

4. Basic Acoustic Emission;Scott,1991

5. Analysis of leakage in high pressure pipe using acoustic emission method;Mostafapour;Appl. Acoust.,2013

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