Browsing by Author "Petrova I."

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    CONDITION BASED ASSESSMENT FOR PREDICTIVE MAINTENANCE OF METALLURGICAL EQUIPMENT
    (2024-01-01) Mihailov E.; Petrova I.; Asenova M.
    The 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.
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    Decision support system for condition based maintance of steel casting ladles
    (2019-01-01) Petrova I.; Mihailov E.; Boshnakov K.
    In these paper are represented the results from the capability evaluation for establishing small size defects with crack shape in the area of the joints between the refractory bricks. For the investigation methods for complex approach are developed and embedded upon diagnostic and evaluation of the equipment condition, based on the use of the results from the thermographic measurements in combination with those from mathematical simulation of the transient heat transfer (describing the heat exchange processes and temperature fields depending on the insulation thickness, type of refractory materials and conditions of operation) and visual expertise. A multi-model approach has been suggested for evaluation of the defect criticality with the purpose of diagnostic of the condition and taking a decision on the maintenance and operation of the steel cast ladle. A Decision Support System for operation and maintenance of the steel casting ladles with the purpose of the safe utilization of their maximal resource is presented.
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    DETERMINATION OF DEFECTS PARAMETERS IN INFRARED DIAGNOSIS OF STEEL LADLE WALL
    (2020-01-01) Petrova I.; Mihailov E.
    This publication presents the results from the capability evaluation for establishing the geometrical dimensions of the local defects in the wall of steel casting ladles during infrared diagnostic procedure. A 3D mathematical model of the ladle wall is used in this study. The analysis of the results demonstrates that the coordinates of the minimal and maximal value of the derivative of the temperature contrast in the fault area can be used as diagnostic indica-tors. Regression relations have been produced enabling the evaluation of the fault extend. This can be applied in diagnostic procedures for taking decisions during predictive maintenance of the equipment.