Nondestructive Detection of Valves Using Acoustic Emission Technique-Reference-Cited by-同舟云学术

Nondestructive Detection of Valves Using Acoustic Emission Technique

Published:2015 Issue: Volume:2015 Page:1-9
ISSN:1687-8434
Container-title:Advances in Materials Science and Engineering
language:en
Short-container-title:Advances in Materials Science and Engineering

Author:

Yan Jin¹,Heng-hu Yang²,Hong Yang²,Feng Zhang²,Zhen Liu²,Ping Wang²,Yan Yang²

Affiliation:

1. Zhoushan Library, Chongqing University of Technology, Chongqing 400054, China

2. College of Mechanical Engineering, Chongqing University of Technology, Chongqing 400054, China

Abstract

The applications of acoustic emission (AE) technique in detection of valves are presented in this review, and the theoretical models and experimental results of nondestructive detection of valves using AE are provided. The generation of AE signals and the basic composition of AE detection system are briefly explained. The applications of AE technique in valves are focused on condition monitoring, failure, cavitation detection, and the development of portable measuring devices. All results prove that the AE technique works well in the detection of valves.

Funder

National Natural Science Foundation of China

Publisher

Hindawi Limited

Subject

General Engineering,General Materials Science

Link

http://downloads.hindawi.com/journals/amse/2015/749371.pdf

Reference73 articles.

1. Spectral analysis of internally leaking shut-down valves

2. Pipeline Leak Detection System for Oil and Gas Flowlines

3. A review of vibration and acoustic measurement methods for the detection of defects in rolling element bearings

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