Abstract
Setting the default diagnosis and residual longevity of steel ladle turret bearing as the research subject, this article developed a large data and fusion of data mining with expert system based AI default diagnosis system, which has been successfully applicated in the default diagnosis of steel ladle turret bearing of a steel, saving tremendous time for steel mill’s decisive equipment maintenance by precisely predict the residual longevity of the equipment.
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Hu, W., Gu, F., Chen, S. (2020). Large Data and AI Analysis Based Online Diagnosis System Application of Steel Ladle Slewing Bearing. In: Ball, A., Gelman, L., Rao, B. (eds) Advances in Asset Management and Condition Monitoring. Smart Innovation, Systems and Technologies, vol 166. Springer, Cham. https://doi.org/10.1007/978-3-030-57745-2_123
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DOI: https://doi.org/10.1007/978-3-030-57745-2_123
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