Detection and Removal of Dust Particles in Pipelines Using 3-D Mems

Currently, the detection of dust particles is realized through manual sampling. Thus it is desirable to develop an automated online technique. Generally, industries run with the help of pipelines through which liquid can flow. The main aim of the work is to detect the dust particles which are presen...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:International journal on smart sensing and intelligent systems 2022-03, Vol.10 (5), p.147-162
Hauptverfasser: Thamilvalluvan, B., Anto Bennet, M., Gokulakrishnan, K., Harrison, S., Shanmugam, R., Mangaram, B.
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 162
container_issue 5
container_start_page 147
container_title International journal on smart sensing and intelligent systems
container_volume 10
creator Thamilvalluvan, B.
Anto Bennet, M.
Gokulakrishnan, K.
Harrison, S.
Shanmugam, R.
Mangaram, B.
description Currently, the detection of dust particles is realized through manual sampling. Thus it is desirable to develop an automated online technique. Generally, industries run with the help of pipelines through which liquid can flow. The main aim of the work is to detect the dust particles which are present inside the pipeline when liquid is flowing through it. Distributed Acoustic Sensing (DAS) is a recent addition to the pipeline security world. Opta sense system is designed to prevent the damage in pipeline by providing the advance warning to the concern department and make them alert. The dust particles are detected by using MEMS, which can sense in three axis (Heat, Vibration, Movement). It is identified by the IR sensor. The approach can also be simulated by using MATLAB.
doi_str_mv 10.21307/ijssis-2017-242
format Article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_2634040692</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2634040692</sourcerecordid><originalsourceid>FETCH-LOGICAL-c321t-1b6668c632009d2f55a7dff29dc6bf8f43f2881fd5d5e55d743905cbe4f91b293</originalsourceid><addsrcrecordid>eNp1kEtLAzEUhYMoWGr3LgOuo3lMMjMbQVpfULGIXYdMHiVlOlOTjNJ_b3QE3Xg391w451z4ADgn-JIShssrv43RR0QxKREt6BGYEFJWiAtcHf_Rp2AW4xbnYTUtiZiA-cImq5PvO6g6A1_srn9XLewdXAwxwZUKyevWRug7uPJ72_ouH-vouw1kaAGf7C6egROn2mhnP3sK1ne3r_MHtHy-f5zfLJFmlCREGiFEpQWjGNeGOs5VaZyjtdGicZUrmKNVRZzhhlvOTVmwGnPd2MLVpKE1m4KLsXcf-rfBxiS3_RC6_FJSwQpcYFHT7MKjS4c-xmCd3Ae_U-EgCZbftORIS37RkplWjlyPkQ_VJhuM3YThkMVv_39RgjkpSvYJQupxaQ</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2634040692</pqid></control><display><type>article</type><title>Detection and Removal of Dust Particles in Pipelines Using 3-D Mems</title><source>EZB-FREE-00999 freely available EZB journals</source><creator>Thamilvalluvan, B. ; Anto Bennet, M. ; Gokulakrishnan, K. ; Harrison, S. ; Shanmugam, R. ; Mangaram, B.</creator><creatorcontrib>Thamilvalluvan, B. ; Anto Bennet, M. ; Gokulakrishnan, K. ; Harrison, S. ; Shanmugam, R. ; Mangaram, B.</creatorcontrib><description>Currently, the detection of dust particles is realized through manual sampling. Thus it is desirable to develop an automated online technique. Generally, industries run with the help of pipelines through which liquid can flow. The main aim of the work is to detect the dust particles which are present inside the pipeline when liquid is flowing through it. Distributed Acoustic Sensing (DAS) is a recent addition to the pipeline security world. Opta sense system is designed to prevent the damage in pipeline by providing the advance warning to the concern department and make them alert. The dust particles are detected by using MEMS, which can sense in three axis (Heat, Vibration, Movement). It is identified by the IR sensor. The approach can also be simulated by using MATLAB.</description><identifier>ISSN: 1178-5608</identifier><identifier>EISSN: 1178-5608</identifier><identifier>DOI: 10.21307/ijssis-2017-242</identifier><language>eng</language><publisher>Sydney: Sciendo</publisher><subject>Axis movements ; Damage prevention ; Distributed Acoustic Sensing (DAS) ; Dust ; Micro Electro Mechanical System (MEMS) ; Opta sense interrogator unit (OIU) ; Pipelines ; Renewable Energy Sources (RES) ; Three axis</subject><ispartof>International journal on smart sensing and intelligent systems, 2022-03, Vol.10 (5), p.147-162</ispartof><rights>2017. This work is published under https://creativecommons.org/licenses/by-nc-nd/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c321t-1b6668c632009d2f55a7dff29dc6bf8f43f2881fd5d5e55d743905cbe4f91b293</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids></links><search><creatorcontrib>Thamilvalluvan, B.</creatorcontrib><creatorcontrib>Anto Bennet, M.</creatorcontrib><creatorcontrib>Gokulakrishnan, K.</creatorcontrib><creatorcontrib>Harrison, S.</creatorcontrib><creatorcontrib>Shanmugam, R.</creatorcontrib><creatorcontrib>Mangaram, B.</creatorcontrib><title>Detection and Removal of Dust Particles in Pipelines Using 3-D Mems</title><title>International journal on smart sensing and intelligent systems</title><description>Currently, the detection of dust particles is realized through manual sampling. Thus it is desirable to develop an automated online technique. Generally, industries run with the help of pipelines through which liquid can flow. The main aim of the work is to detect the dust particles which are present inside the pipeline when liquid is flowing through it. Distributed Acoustic Sensing (DAS) is a recent addition to the pipeline security world. Opta sense system is designed to prevent the damage in pipeline by providing the advance warning to the concern department and make them alert. The dust particles are detected by using MEMS, which can sense in three axis (Heat, Vibration, Movement). It is identified by the IR sensor. The approach can also be simulated by using MATLAB.</description><subject>Axis movements</subject><subject>Damage prevention</subject><subject>Distributed Acoustic Sensing (DAS)</subject><subject>Dust</subject><subject>Micro Electro Mechanical System (MEMS)</subject><subject>Opta sense interrogator unit (OIU)</subject><subject>Pipelines</subject><subject>Renewable Energy Sources (RES)</subject><subject>Three axis</subject><issn>1178-5608</issn><issn>1178-5608</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNp1kEtLAzEUhYMoWGr3LgOuo3lMMjMbQVpfULGIXYdMHiVlOlOTjNJ_b3QE3Xg391w451z4ADgn-JIShssrv43RR0QxKREt6BGYEFJWiAtcHf_Rp2AW4xbnYTUtiZiA-cImq5PvO6g6A1_srn9XLewdXAwxwZUKyevWRug7uPJ72_ouH-vouw1kaAGf7C6egROn2mhnP3sK1ne3r_MHtHy-f5zfLJFmlCREGiFEpQWjGNeGOs5VaZyjtdGicZUrmKNVRZzhhlvOTVmwGnPd2MLVpKE1m4KLsXcf-rfBxiS3_RC6_FJSwQpcYFHT7MKjS4c-xmCd3Ae_U-EgCZbftORIS37RkplWjlyPkQ_VJhuM3YThkMVv_39RgjkpSvYJQupxaQ</recordid><startdate>20220301</startdate><enddate>20220301</enddate><creator>Thamilvalluvan, B.</creator><creator>Anto Bennet, M.</creator><creator>Gokulakrishnan, K.</creator><creator>Harrison, S.</creator><creator>Shanmugam, R.</creator><creator>Mangaram, B.</creator><general>Sciendo</general><general>De Gruyter Poland</general><scope>AAYXX</scope><scope>CITATION</scope><scope>8FE</scope><scope>8FG</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>JQ2</scope><scope>K7-</scope><scope>L6V</scope><scope>M7S</scope><scope>P5Z</scope><scope>P62</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope></search><sort><creationdate>20220301</creationdate><title>Detection and Removal of Dust Particles in Pipelines Using 3-D Mems</title><author>Thamilvalluvan, B. ; Anto Bennet, M. ; Gokulakrishnan, K. ; Harrison, S. ; Shanmugam, R. ; Mangaram, B.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c321t-1b6668c632009d2f55a7dff29dc6bf8f43f2881fd5d5e55d743905cbe4f91b293</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Axis movements</topic><topic>Damage prevention</topic><topic>Distributed Acoustic Sensing (DAS)</topic><topic>Dust</topic><topic>Micro Electro Mechanical System (MEMS)</topic><topic>Opta sense interrogator unit (OIU)</topic><topic>Pipelines</topic><topic>Renewable Energy Sources (RES)</topic><topic>Three axis</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Thamilvalluvan, B.</creatorcontrib><creatorcontrib>Anto Bennet, M.</creatorcontrib><creatorcontrib>Gokulakrishnan, K.</creatorcontrib><creatorcontrib>Harrison, S.</creatorcontrib><creatorcontrib>Shanmugam, R.</creatorcontrib><creatorcontrib>Mangaram, B.</creatorcontrib><collection>CrossRef</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>Materials Science &amp; Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies &amp; Aerospace Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Computer Science Collection</collection><collection>Computer Science Database</collection><collection>ProQuest Engineering Collection</collection><collection>Engineering Database</collection><collection>Advanced Technologies &amp; Aerospace Database</collection><collection>ProQuest Advanced Technologies &amp; Aerospace Collection</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>Engineering Collection</collection><jtitle>International journal on smart sensing and intelligent systems</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Thamilvalluvan, B.</au><au>Anto Bennet, M.</au><au>Gokulakrishnan, K.</au><au>Harrison, S.</au><au>Shanmugam, R.</au><au>Mangaram, B.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Detection and Removal of Dust Particles in Pipelines Using 3-D Mems</atitle><jtitle>International journal on smart sensing and intelligent systems</jtitle><date>2022-03-01</date><risdate>2022</risdate><volume>10</volume><issue>5</issue><spage>147</spage><epage>162</epage><pages>147-162</pages><issn>1178-5608</issn><eissn>1178-5608</eissn><abstract>Currently, the detection of dust particles is realized through manual sampling. Thus it is desirable to develop an automated online technique. Generally, industries run with the help of pipelines through which liquid can flow. The main aim of the work is to detect the dust particles which are present inside the pipeline when liquid is flowing through it. Distributed Acoustic Sensing (DAS) is a recent addition to the pipeline security world. Opta sense system is designed to prevent the damage in pipeline by providing the advance warning to the concern department and make them alert. The dust particles are detected by using MEMS, which can sense in three axis (Heat, Vibration, Movement). It is identified by the IR sensor. The approach can also be simulated by using MATLAB.</abstract><cop>Sydney</cop><pub>Sciendo</pub><doi>10.21307/ijssis-2017-242</doi><tpages>16</tpages><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 1178-5608
ispartof International journal on smart sensing and intelligent systems, 2022-03, Vol.10 (5), p.147-162
issn 1178-5608
1178-5608
language eng
recordid cdi_proquest_journals_2634040692
source EZB-FREE-00999 freely available EZB journals
subjects Axis movements
Damage prevention
Distributed Acoustic Sensing (DAS)
Dust
Micro Electro Mechanical System (MEMS)
Opta sense interrogator unit (OIU)
Pipelines
Renewable Energy Sources (RES)
Three axis
title Detection and Removal of Dust Particles in Pipelines Using 3-D Mems
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-28T21%3A48%3A51IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Detection%20and%20Removal%20of%20Dust%20Particles%20in%20Pipelines%20Using%203-D%20Mems&rft.jtitle=International%20journal%20on%20smart%20sensing%20and%20intelligent%20systems&rft.au=Thamilvalluvan,%20B.&rft.date=2022-03-01&rft.volume=10&rft.issue=5&rft.spage=147&rft.epage=162&rft.pages=147-162&rft.issn=1178-5608&rft.eissn=1178-5608&rft_id=info:doi/10.21307/ijssis-2017-242&rft_dat=%3Cproquest_cross%3E2634040692%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2634040692&rft_id=info:pmid/&rfr_iscdi=true