{"data":{"id":"10.57760/sciencedb.36449","type":"dois","attributes":{"doi":"10.57760/sciencedb.36449","prefix":"10.57760","suffix":"sciencedb.36449","identifiers":[{"identifier":"31253.11.sciencedb.36449","identifierType":"CSTR"}],"alternateIdentifiers":[{"alternateIdentifierType":"CSTR","alternateIdentifier":"31253.11.sciencedb.36449"}],"creators":[{"name":"Chaux, Jesus Filander Caratar","nameType":"Personal","givenName":"Jesus Filander Caratar","familyName":"Chaux","affiliation":["University of Valle"],"nameIdentifiers":[]},{"name":"Mauricio, Valencia Restrepo Andres","nameType":"Personal","givenName":"Valencia Restrepo Andres","familyName":"Mauricio","affiliation":["Universidad del Valle"],"nameIdentifiers":[{"schemeUri":"https://orcid.org","nameIdentifier":"/0000-0001-5154-0195"}]}],"titles":[{"title":"hydroelectric plant signals"},{"lang":"zh","title":"hydroelectric plant signals"}],"publisher":"Science Data Bank","container":{},"publicationYear":2026,"subjects":[{"subject":"Information science and systems science","subjectScheme":"GB/T 13745-2009","classificationCode":"120"},{"subject":"Information and systems science related engineering and technology","subjectScheme":"GB/T 13745-2009","classificationCode":"413"},{"subject":"Mechanical engineering","subjectScheme":"GB/T 13745-2009","classificationCode":"460"},{"subject":"FOS: Mechanical engineering","schemeUri":"http://www.oecd.org/science/inno/38235147.pdf","subjectScheme":"Fields of Science and Technology (FOS)"},{"subject":"Power and electrical engineering","subjectScheme":"GB/T 13745-2009","classificationCode":"470"},{"subject":"hydroelectric generation plant"},{"subject":"hydroelectric"},{"subject":"plant"},{"subject":"signals"},{"subject":"bayesian networks"}],"contributors":[],"dates":[{"date":"2026-01-29","dateType":"Issued"},{"date":"2026-01-28","dateType":"Created"},{"date":"2026-01-28","dateType":"Updated"}],"language":"en","types":{"ris":"DATA","bibtex":"misc","citeproc":"dataset","schemaOrg":"Dataset","resourceType":"Dataset","resourceTypeGeneral":"Dataset"},"relatedIdentifiers":[{"relationType":"IsSupplementTo","relatedIdentifier":"10.22201/icat.24486736e.2020.18.6.1364","relatedIdentifierType":"DOI"}],"relatedItems":[],"sizes":["3761047 bytes","4 files"],"formats":[],"version":"V1","rightsList":[{"rights":"Creative Commons Zero v1.0 Universal","rightsUri":"https://creativecommons.org/publicdomain/zero/1.0/legalcode","schemeUri":"https://spdx.org/licenses/","rightsIdentifier":"cc0-1.0","rightsIdentifierScheme":"SPDX"}],"descriptions":[{"description":"The file 'hidro con falla' contains 18,644 records regarding the behavior of 13 variables pertaining to the hydroelectric generation process at the 'Central Hidroeléctrica Amaime' plant, located in Palmira, Valle, Colombia. This file includes the following variables:TMRCLA Radial bearing metal temperature at the driven endTMA1LA Axial bearing metal temperature 1 driven endTMA2LA Axial bearing metal temperature 2 driven endTACCLA Temperature in oil sump driven endVEACLA Axial vibration at the driven-end bearingVERCLA Radial vibration at the driven-end bearingTMRCLOA Radial bearing metal temperature at the non-driven endTACCLOA Bearing oil sump temperature at the non-driven endVER Radial shaft vibrationTTA Oil tank temperaturePAA Oil accumulator pressureTAaT Oil outlet temperatureTAaC Oil supply temperature The values of the displayed variables can assume three distinct states (OK, Alarm, Trip), depending on the setting values. Consequently, an algorithm was applied to the 'hidro con falla' file to classify the signal states, using the signal settings as a reference, to generate the 'train' file. In this file, the signals were assigned qualitative values, and specific failure cases were defined using the KDD procedure.The 'modelo bayesiano' file was used to obtain the prior and conditional probability values of the analyzed variables. These probabilities were used to train the Bayesian model. Subsequently, the model was tested using data from the 'Test' file, which consists of 30% of the total data obtained from the failure cases in the original 'hidro con falla' file.","descriptionType":"Abstract"},{"lang":"zh","description":"The file 'hidro con falla' contains 18,644 records regarding the behavior of 13 variables pertaining to the hydroelectric generation process at the 'Central Hidroeléctrica Amaime' plant, located in Palmira, Valle, Colombia. This file includes the following variables:TMRCLA Radial bearing metal temperature at the driven endTMA1LA Axial bearing metal temperature 1 driven endTMA2LA Axial bearing metal temperature 2 driven endTACCLA Temperature in oil sump driven endVEACLA Axial vibration at the driven-end bearingVERCLA Radial vibration at the driven-end bearingTMRCLOA Radial bearing metal temperature at the non-driven endTACCLOA Bearing oil sump temperature at the non-driven endVER Radial shaft vibrationTTA Oil tank temperaturePAA Oil accumulator pressureTAaT Oil outlet temperatureTAaC Oil supply temperature The values of the displayed variables can assume three distinct states (OK, Alarm, Trip), depending on the setting values. Consequently, an algorithm was applied to the 'hidro con falla' file to classify the signal states, using the signal settings as a reference, to generate the 'train' file. 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      <creatorName>Jesus Filander Caratar Chaux</creatorName>
      <affiliation affiliationIdentifier="https://ror.org/00jb9vg53" affilicationIdentifierScheme="ROR" schemeURI="https://ror.org">University of Valle</affiliation>
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      <creatorName>Valencia Restrepo Andres Mauricio</creatorName>
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  <titles>
    <title>hydroelectric plant signals</title>
    <title xml:lang="zh">hydroelectric plant signals</title>
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  <publisher>Science Data Bank</publisher>
  <publicationYear>2026</publicationYear>
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    <subject classificationCode="413" subjectScheme="GB/T 13745-2009">Information and systems science related engineering and technology</subject>
    <subject classificationCode="460" subjectScheme="GB/T 13745-2009">Mechanical engineering</subject>
    <subject classificationCode="470" subjectScheme="GB/T 13745-2009">Power and electrical engineering</subject>
    <subject>hydroelectric generation plant</subject>
    <subject>hydroelectric</subject>
    <subject>plant</subject>
    <subject>signals</subject>
    <subject>bayesian networks</subject>
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  <dates>
    <date dateType="Issued">2026-01-29</date>
    <date dateType="Created">2026-01-28</date>
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    <description descriptionType="Abstract" xml:lang="zh">The file 'hidro con falla' contains 18,644 records regarding the behavior of 13 variables pertaining to the hydroelectric generation process at the 'Central Hidroel&amp;eacute;ctrica Amaime' plant, located in Palmira, Valle, Colombia. This file includes the following variables:TMRCLA Radial bearing metal temperature at the driven endTMA1LA Axial bearing metal temperature 1 driven endTMA2LA Axial bearing metal temperature 2&amp;nbsp;driven endTACCLA Temperature in oil sump driven endVEACLA Axial vibration at the driven-end bearingVERCLA Radial vibration at the driven-end bearingTMRCLOA Radial bearing metal temperature at the non-driven endTACCLOA Bearing oil sump temperature at the non-driven endVER Radial shaft vibrationTTA Oil tank temperaturePAA Oil accumulator pressureTAaT Oil outlet temperatureTAaC Oil supply temperature The values of the displayed variables can assume three distinct states (OK, Alarm, Trip), depending on the setting values. Consequently, an algorithm was applied to the 'hidro con falla' file to classify the signal states, using the signal settings as a reference, to generate the 'train' file. In this file, the signals were assigned qualitative values, and specific failure cases were defined using the KDD procedure.The 'modelo bayesiano' file was used to obtain the prior and conditional probability values of the analyzed variables. These probabilities were used to train the Bayesian model. Subsequently, the model was tested using data from the 'Test' file, which consists of 30% of the total data obtained from the failure cases in the original 'hidro con falla' file.</description>
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