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dc.contributor.authorDanafar, Somayeh-
dc.contributor.authorKryszczuk, Krzysztof-
dc.contributor.authorGassner, Martin-
dc.contributor.authorBernero, Stefano-
dc.date.accessioned2018-07-09T13:13:52Z-
dc.date.available2018-07-09T13:13:52Z-
dc.date.issued2017-09-27-
dc.identifier.urihttps://digitalcollection.zhaw.ch/handle/11475/7730-
dc.description.abstractWhy do many Predictive Maintenance systems fail? The proposition of Predictive Maintenance paradigm is that a failure of a give system can be expected and predicted. However, complex systems in industrial applications are rarely stable, and the expected time to failure can vary rapidly as the operating conditions and regime change. Therefore, a clear strategy must be devised regarding how and when to act upon received prediction. We refer to this strategy as Prescriptive Maintenance, and describe it as an optimization problem. In this talk we discuss an example of moving from Predictive to Prescriptive Maintenance scheme using as an example a system we developed in collaboration with GE Power (Switzerland).de_CH
dc.language.isoende_CH
dc.rightsLicence according to publishing contractde_CH
dc.subjectPredictive Maintenancede_CH
dc.subjectAnalyticsde_CH
dc.subjectEmission predictionde_CH
dc.subject.ddc003: Systemede_CH
dc.titlePredictive-prescriptive analytics for combustion monitoring in gas turbine power plantsde_CH
dc.typeKonferenz: Sonstigesde_CH
dcterms.typeTextde_CH
zhaw.departementLife Sciences und Facility Managementde_CH
zhaw.organisationalunitInstitut für Computational Life Sciences (ICLS)de_CH
zhaw.conference.detailsPredictive Maintenance, Swiss Association for Analytics (SAA), Lausanne, 27 September 2017de_CH
zhaw.funding.euNode_CH
zhaw.originated.zhawYesde_CH
zhaw.publication.statuspublishedVersionde_CH
zhaw.publication.reviewNot specifiedde_CH
zhaw.webfeedDatalabde_CH
zhaw.webfeedPredictive Analyticsde_CH
zhaw.funding.zhawPredictive - Prescriptive Analytics for Emission & Combustion Monitoring Agents in Gas Turbine Combined Cycle Power Plantsde_CH
Appears in collections:Publikationen Life Sciences und Facility Management

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Danafar, S., Kryszczuk, K., Gassner, M., & Bernero, S. (2017, September 27). Predictive-prescriptive analytics for combustion monitoring in gas turbine power plants. Predictive Maintenance, Swiss Association for Analytics (SAA), Lausanne, 27 September 2017.
Danafar, S. et al. (2017) ‘Predictive-prescriptive analytics for combustion monitoring in gas turbine power plants’, in Predictive Maintenance, Swiss Association for Analytics (SAA), Lausanne, 27 September 2017.
S. Danafar, K. Kryszczuk, M. Gassner, and S. Bernero, “Predictive-prescriptive analytics for combustion monitoring in gas turbine power plants,” in Predictive Maintenance, Swiss Association for Analytics (SAA), Lausanne, 27 September 2017, Sep. 2017.
DANAFAR, Somayeh, Krzysztof KRYSZCZUK, Martin GASSNER und Stefano BERNERO, 2017. Predictive-prescriptive analytics for combustion monitoring in gas turbine power plants. In: Predictive Maintenance, Swiss Association for Analytics (SAA), Lausanne, 27 September 2017. Conference presentation. 27 September 2017
Danafar, Somayeh, Krzysztof Kryszczuk, Martin Gassner, and Stefano Bernero. 2017. “Predictive-Prescriptive Analytics for Combustion Monitoring in Gas Turbine Power Plants.” Conference presentation. In Predictive Maintenance, Swiss Association for Analytics (SAA), Lausanne, 27 September 2017.
Danafar, Somayeh, et al. “Predictive-Prescriptive Analytics for Combustion Monitoring in Gas Turbine Power Plants.” Predictive Maintenance, Swiss Association for Analytics (SAA), Lausanne, 27 September 2017, 2017.


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