Statistical Signal Processing and Sorting for Acoustic Emission Monitoring of High-Temperature Pressure Components

Statistical Signal Processing and Sorting for Acoustic Emission Monitoring of High-Temperature Pressure Components

A study was conducted to demonstrate feasibility of designing and developing a reliable and real-time monitoring methodology based on statistical pattern recognition for early detection of defects in small, low-alloy steel vessels. These low-alloy steel vessels were pressurized at high temperature w...

Full description

Bibliographic Details
Main Author: Hrairi, Meftah
Format: Article
Language:English
Published: Wiley-Blackwell 2009
Subjects:
TJ Mechanical engineering and machinery
Online Access:http://irep.iium.edu.my/6536/
http://irep.iium.edu.my/6536/
http://irep.iium.edu.my/6536/
http://irep.iium.edu.my/6536/1/EXT418.pdf
id iium-6536
recordtype eprints
spelling iium-65362011-12-23T08:41:03Z http://irep.iium.edu.my/6536/ Statistical Signal Processing and Sorting for Acoustic Emission Monitoring of High-Temperature Pressure Components Hrairi, Meftah TJ Mechanical engineering and machinery A study was conducted to demonstrate feasibility of designing and developing a reliable and real-time monitoring methodology based on statistical pattern recognition for early detection of defects in small, low-alloy steel vessels. These low-alloy steel vessels were pressurized at high temperature with an aqueous hydrogen sulfide solution. A portable acoustic emission (AE) system was used to capture emission signals. An in-house-developed FORTRAN program calculated 37 features, including 18 from the time domain signal and 19 from the frequency domain. SAS statistical software package was used to find a correlation between these features, leading to the classification of AE signals according to type and discover relationships between emissions and the findings of the investigation. The specimens used in the study were made of low-alloy steel with similar characteristics to those used by petroleum refineries. Wiley-Blackwell 2009-09 Article PeerReviewed application/pdf en http://irep.iium.edu.my/6536/1/EXT418.pdf Hrairi, Meftah (2009) Statistical Signal Processing and Sorting for Acoustic Emission Monitoring of High-Temperature Pressure Components. Experimental Techniques, 33 (5). pp. 35-43. ISSN 1747-1567 http://onlinelibrary.wiley.com/journal/10.1111/%28ISSN%291747-1567 DOI: 10.1111/j.1747-1567.2008.00418.x
repository_type Digital Repository
institution_category Local University
institution International Islamic University Malaysia
building IIUM Repository
collection Online Access
language English
topic TJ Mechanical engineering and machinery
spellingShingle TJ Mechanical engineering and machinery
Hrairi, Meftah
Statistical Signal Processing and Sorting for Acoustic Emission Monitoring of High-Temperature Pressure Components
description A study was conducted to demonstrate feasibility of designing and developing a reliable and real-time monitoring methodology based on statistical pattern recognition for early detection of defects in small, low-alloy steel vessels. These low-alloy steel vessels were pressurized at high temperature with an aqueous hydrogen sulfide solution. A portable acoustic emission (AE) system was used to capture emission signals. An in-house-developed FORTRAN program calculated 37 features, including 18 from the time domain signal and 19 from the frequency domain. SAS statistical software package was used to find a correlation between these features, leading to the classification of AE signals according to type and discover relationships between emissions and the findings of the investigation. The specimens used in the study were made of low-alloy steel with similar characteristics to those used by petroleum refineries.
format Article
author Hrairi, Meftah
author_facet Hrairi, Meftah
author_sort Hrairi, Meftah
title Statistical Signal Processing and Sorting for Acoustic Emission Monitoring of High-Temperature Pressure Components
title_short Statistical Signal Processing and Sorting for Acoustic Emission Monitoring of High-Temperature Pressure Components
title_full Statistical Signal Processing and Sorting for Acoustic Emission Monitoring of High-Temperature Pressure Components
title_fullStr Statistical Signal Processing and Sorting for Acoustic Emission Monitoring of High-Temperature Pressure Components
title_full_unstemmed Statistical Signal Processing and Sorting for Acoustic Emission Monitoring of High-Temperature Pressure Components
title_sort statistical signal processing and sorting for acoustic emission monitoring of high-temperature pressure components
publisher Wiley-Blackwell
publishDate 2009
url http://irep.iium.edu.my/6536/
http://irep.iium.edu.my/6536/
http://irep.iium.edu.my/6536/
http://irep.iium.edu.my/6536/1/EXT418.pdf
first_indexed 2023-09-18T20:15:32Z
last_indexed 2023-09-18T20:15:32Z
_version_ 1777407761667063808

Similar Items