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The Paradox of Electromagnetic Interference Affecting Medical Devices at International Hospitals
Overburdened electric cables, transformers, and other electrical equipment can fail. Given the historical uncertainty of their backup measures, hospitals are looking to innovative possibilities for power outage mitigation. For example, prior to failure, aberrant thermal readings, noise, and spark em...
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creator | Chan, Steve Oktavianti, Ika Nopphawan, Parnmook |
description | Overburdened electric cables, transformers, and other electrical equipment can fail. Given the historical uncertainty of their backup measures, hospitals are looking to innovative possibilities for power outage mitigation. For example, prior to failure, aberrant thermal readings, noise, and spark emissions may be detected (in addition to aberrant current and voltage waveforms). The equipment at key poles servicing the hospital can be monitored for aberrations; likewise, the power systems within the hospital can also be monitored for aberrations. In this way, service personnel may be dispatched prior to terminal failure. This hyper-locale power aberration assessment mechanism enables predictive/preventive (leveraging early indicators and warnings of potential power reliability and stability issues) maintenance rather than simply corrective maintenance (allowing the system to operate until the equipment fails). This paper examines how thermal, noise, and spark detection sensors provide an opportunity for more robust coverage and more likely detection of certain powerline noise aberrations at the "edge" against a set of compiled heuristics. |
doi_str_mv | 10.1109/CMD48350.2020.9287272 |
format | conference_proceeding |
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Given the historical uncertainty of their backup measures, hospitals are looking to innovative possibilities for power outage mitigation. For example, prior to failure, aberrant thermal readings, noise, and spark emissions may be detected (in addition to aberrant current and voltage waveforms). The equipment at key poles servicing the hospital can be monitored for aberrations; likewise, the power systems within the hospital can also be monitored for aberrations. In this way, service personnel may be dispatched prior to terminal failure. This hyper-locale power aberration assessment mechanism enables predictive/preventive (leveraging early indicators and warnings of potential power reliability and stability issues) maintenance rather than simply corrective maintenance (allowing the system to operate until the equipment fails). 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Given the historical uncertainty of their backup measures, hospitals are looking to innovative possibilities for power outage mitigation. For example, prior to failure, aberrant thermal readings, noise, and spark emissions may be detected (in addition to aberrant current and voltage waveforms). The equipment at key poles servicing the hospital can be monitored for aberrations; likewise, the power systems within the hospital can also be monitored for aberrations. In this way, service personnel may be dispatched prior to terminal failure. This hyper-locale power aberration assessment mechanism enables predictive/preventive (leveraging early indicators and warnings of potential power reliability and stability issues) maintenance rather than simply corrective maintenance (allowing the system to operate until the equipment fails). This paper examines how thermal, noise, and spark detection sensors provide an opportunity for more robust coverage and more likely detection of certain powerline noise aberrations at the "edge" against a set of compiled heuristics.</description><subject>audible noise spectrum</subject><subject>corona discharge detection</subject><subject>electromagnetic interference</subject><subject>humidity</subject><subject>power outage mitigation</subject><issn>2644-271X</issn><isbn>1728159318</isbn><isbn>9781728159317</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2020</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><recordid>eNotkMFKAzEURaMgWGu_QIT8wNSXl8wkWZa22kKLLiq4q68zLzXSzpSZIPr3DrSrsziXy-UK8ahgrBT4p-l6ZpzOYYyAMPboLFq8EnfKolO518pdiwEWxmRo1cetGHXdNwBoBO2cG4jPzRfLN2qpan5lE-T8wGVqmyPta06xlMs6cRu45bpkOQmht7HeyzVXsaSDnPFPLLmTlM7JmlJs6l4smu4UEx26e3ETevDowqF4f55vpots9fqynE5WWeynpGxnc7-zXmkfmLQ31oPHyhFSUbgyIOY5uQJIAwVDOmcoeGdCYZBQQVXpoXg490Zm3p7aeKT2b3s5RP8DPvxV0g</recordid><startdate>20201025</startdate><enddate>20201025</enddate><creator>Chan, Steve</creator><creator>Oktavianti, Ika</creator><creator>Nopphawan, Parnmook</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>20201025</creationdate><title>The Paradox of Electromagnetic Interference Affecting Medical Devices at International Hospitals</title><author>Chan, Steve ; Oktavianti, Ika ; Nopphawan, Parnmook</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i203t-b759b79139fea39479092d8a2a668cf2255a860a30af4a35e06eb4f642a210dd3</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2020</creationdate><topic>audible noise spectrum</topic><topic>corona discharge detection</topic><topic>electromagnetic interference</topic><topic>humidity</topic><topic>power outage mitigation</topic><toplevel>online_resources</toplevel><creatorcontrib>Chan, Steve</creatorcontrib><creatorcontrib>Oktavianti, Ika</creatorcontrib><creatorcontrib>Nopphawan, Parnmook</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE/IET Electronic Library</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Chan, Steve</au><au>Oktavianti, Ika</au><au>Nopphawan, Parnmook</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>The Paradox of Electromagnetic Interference Affecting Medical Devices at International Hospitals</atitle><btitle>2020 8th International Conference on Condition Monitoring and Diagnosis (CMD)</btitle><stitle>CMD</stitle><date>2020-10-25</date><risdate>2020</risdate><spage>50</spage><epage>53</epage><pages>50-53</pages><eissn>2644-271X</eissn><eisbn>1728159318</eisbn><eisbn>9781728159317</eisbn><abstract>Overburdened electric cables, transformers, and other electrical equipment can fail. Given the historical uncertainty of their backup measures, hospitals are looking to innovative possibilities for power outage mitigation. For example, prior to failure, aberrant thermal readings, noise, and spark emissions may be detected (in addition to aberrant current and voltage waveforms). The equipment at key poles servicing the hospital can be monitored for aberrations; likewise, the power systems within the hospital can also be monitored for aberrations. In this way, service personnel may be dispatched prior to terminal failure. This hyper-locale power aberration assessment mechanism enables predictive/preventive (leveraging early indicators and warnings of potential power reliability and stability issues) maintenance rather than simply corrective maintenance (allowing the system to operate until the equipment fails). This paper examines how thermal, noise, and spark detection sensors provide an opportunity for more robust coverage and more likely detection of certain powerline noise aberrations at the "edge" against a set of compiled heuristics.</abstract><pub>IEEE</pub><doi>10.1109/CMD48350.2020.9287272</doi><tpages>4</tpages></addata></record> |
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ispartof | 2020 8th International Conference on Condition Monitoring and Diagnosis (CMD), 2020, p.50-53 |
issn | 2644-271X |
language | eng |
recordid | cdi_ieee_primary_9287272 |
source | IEEE Xplore All Conference Series |
subjects | audible noise spectrum corona discharge detection electromagnetic interference humidity power outage mitigation |
title | The Paradox of Electromagnetic Interference Affecting Medical Devices at International Hospitals |
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