CONDITION BASED ASSESSMENT FOR PREDICTIVE MAINTENANCE OF METALLURGICAL EQUIPMENT

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creativework.keywordscondition-based assessment, infrared diagnosis, metallurgical equipment, predictive maintenance
creativework.publisherUniversity of Chemical Technology and Metallurgyen
dc.contributor.authorMihailov E.
dc.contributor.authorPetrova I.
dc.contributor.authorAsenova M.
dc.date.accessioned2024-07-10T14:27:06Z
dc.date.accessioned2024-07-10T14:51:09Z
dc.date.available2024-07-10T14:27:06Z
dc.date.available2024-07-10T14:51:09Z
dc.date.issued2024-01-01
dc.description.abstractThe continuous nature of metallurgical technologies and the intensification of production increase the risk of damage to high-temperature equipment during the technological process. The destruction of the structural integrity of the refractory insulation of this equipment leads to the forced interruption of production and significant costs of emergency response and require measures to be taken to reduce the risk of such situations. An opportunity to solve these problems in the metallurgical industry is the introduction into the production process of sustainable systems for making informed decisions and predictive maintenance of equipment, based on continuous or periodic monitoring of the condition of refractory insulation of high-temperature furnaces and auxiliary equipment. Predictive maintenance of technological equipment and aggregates, based on an assessment of their current condition, extends their life, reduces downtime, maintains the optimal level of production, and guarantees compliance with the exact delivery time of production (raw materials, materials, energy). A procedure is presented for assessing the real condition of steel ladles based on periodic monitoring results as part of a decision-making system for predictive and safe use of their maximum resource.
dc.identifier.doi10.59957/jctm.v59.i2.2024.23
dc.identifier.issn1314-7978
dc.identifier.issn1314-7471
dc.identifier.scopusSCOPUS_ID:85186876076en
dc.identifier.urihttps://rlib.uctm.edu/handle/123456789/921
dc.language.isoen
dc.source.urihttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85186876076&origin=inward
dc.titleCONDITION BASED ASSESSMENT FOR PREDICTIVE MAINTENANCE OF METALLURGICAL EQUIPMENT
dc.typeArticle
oaire.citation.issue2
oaire.citation.volume59
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