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Article: An intelligent sensor for machined parts inspection

TitleAn intelligent sensor for machined parts inspection
Authors
KeywordsFuzzy Logic
Optimization
Parts Inspection
Pattern Recognition
Sensor
Issue Date2000
PublisherProfessional Engineering Publishing Ltd. The Journal's web site is located at http://journals.pepublishing.com/link.asp?id=119784
Citation
Proceedings Of The Institution Of Mechanical Engineers, Part B: Journal Of Engineering Manufacture, 2000, v. 214 n. 8, p. 723-734 How to Cite?
AbstractThis paper reports on the development of a sensor for measuring the location of the centre of mass and the mass of a machined part. The sensor consists of six components: power supply, solenoid, sensor body, signal measurement and conditioning system, interface system and personal computer (PC). The measurement results show that the sensor can determine the location of the centre of mass and the mass of a machined part. Defective parts can be identified by comparing the measured values with those of a standard part. Simply identifying defective parts is often not sufficient for an inspection system. A fuzzy defect identification system is developed and added to the sensor. It can use the deviations in the measured location of the centre of mass and the mass of a defective part to suggest possible defects that caused such deviations. © IMechE 2000.
Persistent Identifierhttp://hdl.handle.net/10722/156533
ISSN
2015 Impact Factor: 0.978
2015 SCImago Journal Rankings: 0.541
References

 

DC FieldValueLanguage
dc.contributor.authorTam, SMen_US
dc.contributor.authorCheung, KCen_US
dc.date.accessioned2012-08-08T08:42:50Z-
dc.date.available2012-08-08T08:42:50Z-
dc.date.issued2000en_US
dc.identifier.citationProceedings Of The Institution Of Mechanical Engineers, Part B: Journal Of Engineering Manufacture, 2000, v. 214 n. 8, p. 723-734en_US
dc.identifier.issn0954-4054en_US
dc.identifier.urihttp://hdl.handle.net/10722/156533-
dc.description.abstractThis paper reports on the development of a sensor for measuring the location of the centre of mass and the mass of a machined part. The sensor consists of six components: power supply, solenoid, sensor body, signal measurement and conditioning system, interface system and personal computer (PC). The measurement results show that the sensor can determine the location of the centre of mass and the mass of a machined part. Defective parts can be identified by comparing the measured values with those of a standard part. Simply identifying defective parts is often not sufficient for an inspection system. A fuzzy defect identification system is developed and added to the sensor. It can use the deviations in the measured location of the centre of mass and the mass of a defective part to suggest possible defects that caused such deviations. © IMechE 2000.en_US
dc.languageengen_US
dc.publisherProfessional Engineering Publishing Ltd. The Journal's web site is located at http://journals.pepublishing.com/link.asp?id=119784en_US
dc.relation.ispartofProceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufactureen_US
dc.subjectFuzzy Logicen_US
dc.subjectOptimizationen_US
dc.subjectParts Inspectionen_US
dc.subjectPattern Recognitionen_US
dc.subjectSensoren_US
dc.titleAn intelligent sensor for machined parts inspectionen_US
dc.typeArticleen_US
dc.identifier.emailCheung, KC:kccheung@hkucc.hku.hken_US
dc.identifier.authorityCheung, KC=rp01322en_US
dc.description.naturelink_to_subscribed_fulltexten_US
dc.identifier.doi10.1243/0954405001518099-
dc.identifier.scopuseid_2-s2.0-0033651494en_US
dc.identifier.hkuros63361-
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-0033651494&selection=ref&src=s&origin=recordpageen_US
dc.identifier.volume214en_US
dc.identifier.issue8en_US
dc.identifier.spage723en_US
dc.identifier.epage734en_US
dc.publisher.placeUnited Kingdomen_US
dc.identifier.scopusauthoridTam, SM=7202037309en_US
dc.identifier.scopusauthoridCheung, KC=7402406698en_US

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