Please use this identifier to cite or link to this item: https://hdl.handle.net/1822/4455

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dc.contributor.authorTavares, Adriano-
dc.contributor.authorCorreia, J. H.-
dc.contributor.authorCouto, Carlos-
dc.date.accessioned2006-02-17T16:09:35Z-
dc.date.available2006-02-17T16:09:35Z-
dc.date.issued1995-10-
dc.identifier.citationICSPAT 95 - INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING APPLICATIONS AND TECHNOLOGY, Boston, 1995 - "International Conference on Signal Processing Applications and Technology: Proceedings". [S.l. : s.n., 1995] p. 1290-1295.eng
dc.identifier.urihttps://hdl.handle.net/1822/4455-
dc.description.abstractMulti-load cells weighting systems are based on a platform supported by four or more load cells, normally in parallel inputting lhe same signal conditioning unit. Because of mechanical and electrical paralleling tuning the gain of a load cell affects lhe behavior of the others, making the calibration difficult and tedious, specially withweightbridges for cars and trucb, requiring lhemotion of heavy weights around /arge p/atforms.eng
dc.language.isoengeng
dc.rightsopenAccesseng
dc.subjectCalibrationeng
dc.subjectLoad cellseng
dc.titleCalibration of a multi-load cells weighing system based on neural networkseng
dc.typeconferencePapereng
dc.peerreviewedyeseng
Appears in Collections:DEI - Artigos em atas de congressos internacionais

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