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Applying Adaptation Methods in Expert Diagnostic Rules for Industrial Equipment - Real Experience

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dc.contributor.authorNekrasov, I.
dc.contributor.authorKukin, N.
dc.contributor.authorКукин, Николай Сергеевич
dc.date.accessioned2024-12-25T10:41:32Z
dc.date.available2024-12-25T10:41:32Z
dc.date.issued2022
dc.description.abstractPredictive diagnostics became a mature independent scientific trend during last several decades. The main idea of this methodology is to create a degradation model of a technical asset that can be utilized for prognosing its abnormal behavior and failures in advance. Historically this scientific sphere inherited two main approaches in creating the model itself. First approach grounds on traditional understanding of a mathematical model as an analytical summarization of fundamental laws of nature. From technical perspective this can be substituted by expert knowledge of experienced engineer which can be formalized as a formula dependent on certain measured parameters. The other direction, on the contrary, bases on "pure"mathematical approximation of observed equipment behavior. Both approaches have their pros and cons in certain circumstances that are in details described in this paper. In our research we show one simple method of bringing advantages of both approaches into one common diagnostic algorithm. As a reference example we use a real pump which online parameters are stored in real-time database of a SCADA system. We use historical trends for training the adaptation rules and test how the resulting algorithm is applied to failure detection problem. © 2022 IEEE.
dc.identifier.citationNekrasov, I. Applying Adaptation Methods in Expert Diagnostic Rules for Industrial Equipment - Real Experience / Nekrasov, I., Kukin, N. // 2022 International Conference on Dynamics and Vibroacoustics of Machines, DVM 2022. - 2022. - 10.1109/DVM55487.2022.9930915
dc.identifier.doi10.1109/DVM55487.2022.9930915
dc.identifier.urihttps://www.doi.org/10.1109/DVM55487.2022.9930915
dc.identifier.urihttps://www.scopus.com/record/display.uri?eid=2-s2.0-85142360855&origin=resultslist
dc.identifier.urihttps://openrepository.mephi.ru/handle/123456789/27672
dc.relation.ispartof2022 International Conference on Dynamics and Vibroacoustics of Machines, DVM 2022
dc.subjectadaptation
dc.subjectambient conditions
dc.subjectcorrelation
dc.subjectexpert rules
dc.subjectmeasurements
dc.subjectpredictive diagnostics
dc.subjectSCADA
dc.titleApplying Adaptation Methods in Expert Diagnostic Rules for Industrial Equipment - Real Experience
dc.typeConference Paper
dspace.entity.typePublication
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