Predictive maintenance : Maximizes machinery health
As the name implies, predictive maintenance anticipates equipment outages rather than reacting to them. Benefits include fuller useful life for equipment and lower backup inventory. Initial cost of predictive monitoring systems tends to be high, but much less than forced reactive maintenance due to...
Gespeichert in:
| Veröffentlicht in: | Control engineering 1999-07, Vol.46 (7), p.51-52 |
|---|---|
| 1. Verfasser: | |
| Format: | Magazinearticle |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | 52 |
|---|---|
| container_issue | 7 |
| container_start_page | 51 |
| container_title | Control engineering |
| container_volume | 46 |
| creator | BARTOS, F. J |
| description | As the name implies, predictive maintenance anticipates equipment outages rather than reacting to them. Benefits include fuller useful life for equipment and lower backup inventory. Initial cost of predictive monitoring systems tends to be high, but much less than forced reactive maintenance due to just one serious outage of a manufacturing line. As predictive maintenance methods become more cost-effective, their usage will spread to smaller and more varied equipment. Size of machinery is not the main criterion, however. Protecting processes vital to an enterprise gets first attention. At the same time, available products continue to grow in variety and number. This calls for integration tools to help users manage maintenance tasks. |
| format | Magazinearticle |
| fullrecord | <record><control><sourceid>proquest_pasca</sourceid><recordid>TN_cdi_proquest_reports_200454471</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>743726388</sourcerecordid><originalsourceid>FETCH-LOGICAL-p240t-df4642b9a8a27b1227fa46ec6d1544e0c8066d7817e78280488e8d6f09cc31c33</originalsourceid><addsrcrecordid>eNpdj01LxDAQhoMoWFf_QwXBU2HyYZJ6k0VdYUUPei6z6ZRG2m5NsuL66w24J2HghXkfHmaOWCG4lpUCo49ZAcChsqDqU3YW4wcAmFwUTL4Gar1L_ovKEf2UaMLJUXlbPuO3H_0Pxbx3vZ8o7MuecEj9OTvpcIh0ccgFe3-4f1uuqvXL49Pybl3NQkGq2k5pJTY1WhRmw4UwHSpNTrf8RikCZ0Hr1lhuyFiRb7OWbKs7qJ2T3Em5YJd_3jlsP3cUUxNo3oYUGwGgssPwzFz_Y0YfHQ0DTrTdxcYoaYSW1mby6kBidDh0If_pYzMHP2LYN7zmIo_8Ba-lWlk</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>magazinearticle</recordtype><pqid>200454471</pqid></control><display><type>magazinearticle</type><title>Predictive maintenance : Maximizes machinery health</title><source>Business Source Complete</source><source>Alma/SFX Local Collection</source><creator>BARTOS, F. J</creator><creatorcontrib>BARTOS, F. J</creatorcontrib><description>As the name implies, predictive maintenance anticipates equipment outages rather than reacting to them. Benefits include fuller useful life for equipment and lower backup inventory. Initial cost of predictive monitoring systems tends to be high, but much less than forced reactive maintenance due to just one serious outage of a manufacturing line. As predictive maintenance methods become more cost-effective, their usage will spread to smaller and more varied equipment. Size of machinery is not the main criterion, however. Protecting processes vital to an enterprise gets first attention. At the same time, available products continue to grow in variety and number. This calls for integration tools to help users manage maintenance tasks.</description><identifier>ISSN: 0010-8049</identifier><identifier>EISSN: 2163-4076</identifier><identifier>CODEN: CENGAX</identifier><language>eng</language><publisher>Highlands Ranch, CO: Cahners</publisher><subject>Applied sciences ; Automation ; Computer science; control theory; systems ; Control theory. Systems ; Data collection ; Design specifications ; Distributed control systems ; Exact sciences and technology ; Information management ; Machinery ; Maintenance management ; Manufacturing ; Monitoring systems ; Preventive maintenance ; Process control. Computer integrated manufacturing ; Process controls ; Process planning ; Sensors ; Software</subject><ispartof>Control engineering, 1999-07, Vol.46 (7), p.51-52</ispartof><rights>1999 INIST-CNRS</rights><rights>Copyright Cahners Magazine Division of Reed Publishing USA Jul 1999</rights><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>776,780</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=1912912$$DView record in Pascal Francis$$Hfree_for_read</backlink></links><search><creatorcontrib>BARTOS, F. J</creatorcontrib><title>Predictive maintenance : Maximizes machinery health</title><title>Control engineering</title><description>As the name implies, predictive maintenance anticipates equipment outages rather than reacting to them. Benefits include fuller useful life for equipment and lower backup inventory. Initial cost of predictive monitoring systems tends to be high, but much less than forced reactive maintenance due to just one serious outage of a manufacturing line. As predictive maintenance methods become more cost-effective, their usage will spread to smaller and more varied equipment. Size of machinery is not the main criterion, however. Protecting processes vital to an enterprise gets first attention. At the same time, available products continue to grow in variety and number. This calls for integration tools to help users manage maintenance tasks.</description><subject>Applied sciences</subject><subject>Automation</subject><subject>Computer science; control theory; systems</subject><subject>Control theory. Systems</subject><subject>Data collection</subject><subject>Design specifications</subject><subject>Distributed control systems</subject><subject>Exact sciences and technology</subject><subject>Information management</subject><subject>Machinery</subject><subject>Maintenance management</subject><subject>Manufacturing</subject><subject>Monitoring systems</subject><subject>Preventive maintenance</subject><subject>Process control. Computer integrated manufacturing</subject><subject>Process controls</subject><subject>Process planning</subject><subject>Sensors</subject><subject>Software</subject><issn>0010-8049</issn><issn>2163-4076</issn><fulltext>true</fulltext><rsrctype>magazinearticle</rsrctype><creationdate>1999</creationdate><recordtype>magazinearticle</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNpdj01LxDAQhoMoWFf_QwXBU2HyYZJ6k0VdYUUPei6z6ZRG2m5NsuL66w24J2HghXkfHmaOWCG4lpUCo49ZAcChsqDqU3YW4wcAmFwUTL4Gar1L_ovKEf2UaMLJUXlbPuO3H_0Pxbx3vZ8o7MuecEj9OTvpcIh0ccgFe3-4f1uuqvXL49Pybl3NQkGq2k5pJTY1WhRmw4UwHSpNTrf8RikCZ0Hr1lhuyFiRb7OWbKs7qJ2T3Em5YJd_3jlsP3cUUxNo3oYUGwGgssPwzFz_Y0YfHQ0DTrTdxcYoaYSW1mby6kBidDh0If_pYzMHP2LYN7zmIo_8Ba-lWlk</recordid><startdate>19990701</startdate><enddate>19990701</enddate><creator>BARTOS, F. J</creator><general>Cahners</general><general>CFE Media</general><scope>IQODW</scope><scope>7SP</scope><scope>8FD</scope><scope>L7M</scope><scope>0U~</scope><scope>1-H</scope><scope>3V.</scope><scope>7RQ</scope><scope>7WY</scope><scope>7WZ</scope><scope>7XB</scope><scope>87Z</scope><scope>883</scope><scope>88I</scope><scope>8AL</scope><scope>8AO</scope><scope>8FE</scope><scope>8FG</scope><scope>8FK</scope><scope>8FL</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BEZIV</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FRNLG</scope><scope>F~G</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>JQ2</scope><scope>K60</scope><scope>K6~</scope><scope>K7-</scope><scope>L.-</scope><scope>L.0</scope><scope>L6V</scope><scope>M0C</scope><scope>M0F</scope><scope>M0N</scope><scope>M2P</scope><scope>M7S</scope><scope>P5Z</scope><scope>P62</scope><scope>PQBIZ</scope><scope>PQBZA</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PTHSS</scope><scope>Q9U</scope><scope>U9A</scope></search><sort><creationdate>19990701</creationdate><title>Predictive maintenance : Maximizes machinery health</title><author>BARTOS, F. J</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-p240t-df4642b9a8a27b1227fa46ec6d1544e0c8066d7817e78280488e8d6f09cc31c33</frbrgroupid><rsrctype>magazinearticle</rsrctype><prefilter>magazinearticle</prefilter><language>eng</language><creationdate>1999</creationdate><topic>Applied sciences</topic><topic>Automation</topic><topic>Computer science; control theory; systems</topic><topic>Control theory. Systems</topic><topic>Data collection</topic><topic>Design specifications</topic><topic>Distributed control systems</topic><topic>Exact sciences and technology</topic><topic>Information management</topic><topic>Machinery</topic><topic>Maintenance management</topic><topic>Manufacturing</topic><topic>Monitoring systems</topic><topic>Preventive maintenance</topic><topic>Process control. Computer integrated manufacturing</topic><topic>Process controls</topic><topic>Process planning</topic><topic>Sensors</topic><topic>Software</topic><toplevel>online_resources</toplevel><creatorcontrib>BARTOS, F. J</creatorcontrib><collection>Pascal-Francis</collection><collection>Electronics & Communications Abstracts</collection><collection>Technology Research Database</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Global News & ABI/Inform Professional</collection><collection>Trade PRO</collection><collection>ProQuest Central (Corporate)</collection><collection>Career & Technical Education Database</collection><collection>ABI/INFORM Collection</collection><collection>ABI/INFORM Global (PDF only)</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>ABI/INFORM Global (Alumni Edition)</collection><collection>ABI/INFORM Trade & Industry (Alumni Edition)</collection><collection>Science Database (Alumni Edition)</collection><collection>Computing Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ABI/INFORM Collection (Alumni Edition)</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Business Premium Collection</collection><collection>Technology Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Business Premium Collection (Alumni)</collection><collection>ABI/INFORM Global (Corporate)</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Computer Science Collection</collection><collection>ProQuest Business Collection (Alumni Edition)</collection><collection>ProQuest Business Collection</collection><collection>Computer Science Database</collection><collection>ABI/INFORM Professional Advanced</collection><collection>ABI/INFORM Professional Standard</collection><collection>ProQuest Engineering Collection</collection><collection>ABI/INFORM Global</collection><collection>ABI/INFORM Trade & Industry</collection><collection>Computing Database</collection><collection>Science Database</collection><collection>Engineering Database</collection><collection>Advanced Technologies & Aerospace Database</collection><collection>ProQuest Advanced Technologies & Aerospace Collection</collection><collection>ProQuest One Business</collection><collection>ProQuest One Business (Alumni)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>Engineering Collection</collection><collection>ProQuest Central Basic</collection><jtitle>Control engineering</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>BARTOS, F. J</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Predictive maintenance : Maximizes machinery health</atitle><jtitle>Control engineering</jtitle><date>1999-07-01</date><risdate>1999</risdate><volume>46</volume><issue>7</issue><spage>51</spage><epage>52</epage><pages>51-52</pages><issn>0010-8049</issn><eissn>2163-4076</eissn><coden>CENGAX</coden><abstract>As the name implies, predictive maintenance anticipates equipment outages rather than reacting to them. Benefits include fuller useful life for equipment and lower backup inventory. Initial cost of predictive monitoring systems tends to be high, but much less than forced reactive maintenance due to just one serious outage of a manufacturing line. As predictive maintenance methods become more cost-effective, their usage will spread to smaller and more varied equipment. Size of machinery is not the main criterion, however. Protecting processes vital to an enterprise gets first attention. At the same time, available products continue to grow in variety and number. This calls for integration tools to help users manage maintenance tasks.</abstract><cop>Highlands Ranch, CO</cop><pub>Cahners</pub><tpages>2</tpages></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 0010-8049 |
| ispartof | Control engineering, 1999-07, Vol.46 (7), p.51-52 |
| issn | 0010-8049 2163-4076 |
| language | eng |
| recordid | cdi_proquest_reports_200454471 |
| source | Business Source Complete; Alma/SFX Local Collection |
| subjects | Applied sciences Automation Computer science control theory systems Control theory. Systems Data collection Design specifications Distributed control systems Exact sciences and technology Information management Machinery Maintenance management Manufacturing Monitoring systems Preventive maintenance Process control. Computer integrated manufacturing Process controls Process planning Sensors Software |
| title | Predictive maintenance : Maximizes machinery health |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-23T09%3A28%3A35IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_pasca&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Predictive%20maintenance%20:%20Maximizes%20machinery%20health&rft.jtitle=Control%20engineering&rft.au=BARTOS,%20F.%20J&rft.date=1999-07-01&rft.volume=46&rft.issue=7&rft.spage=51&rft.epage=52&rft.pages=51-52&rft.issn=0010-8049&rft.eissn=2163-4076&rft.coden=CENGAX&rft_id=info:doi/&rft_dat=%3Cproquest_pasca%3E743726388%3C/proquest_pasca%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=200454471&rft_id=info:pmid/&rfr_iscdi=true |