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  4. Publikationen School of Engineering
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dc.contributor.authorGoren Huber, Lilach-
dc.contributor.authorAcquaviva, Michele-
dc.contributor.authorPizza, Gianmarco-
dc.date.accessioned2021-07-30T13:32:06Z-
dc.date.available2021-07-30T13:32:06Z-
dc.date.issued2021-07-06-
dc.identifier.urihttps://digitalcollection.zhaw.ch/handle/11475/22923-
dc.description.abstractThe Supervisory Control and Data Acquisition (SCADA) system installed on every wind turbine collects performance and condition data from various components of the turbine in time intervals of 10 minutes. The data is stored and has been used primarily for performance monitoring (identifying losses in the power production) until now. Realizing that this vast amount of historical data from all turbines has a much bigger potential, Nispera decided to launch an innovation project to harvest this potential and offer its clients a new platform for automated detection and localization of technical anomalies and faults in various turbine components. Early detection of faults allows for an intelligent planning of maintenance activities, leading to considerable reduction in the Operation and Maintenance (O&M) expenses of the wind farm operator. “Predictive maintenance” approaches start to replace reactive and preventive approaches to maintenance in a large variety of application fields, ranging from the aircraft industry, through trains, large production machines and public infrastructures. Deploying predictive maintenance algorithms is becoming increasingly attractive owing to the huge progress of the last years regarding machine data availability, cost-effective storage solutions and efficient intelligent algorithms for data analytics, including machine learning and deep learning methods. For Nispera’s clients, predictive maintenance is even more attractive because this service is offered within a more generic platform, which has access to the SCADA data without the need for any new hardware installation. This makes Nispera’s solution cost-effective com-pared to other condition monitoring solutions available on the market. In this way, Nispera directly addresses the needs of wind park owners and operators for continuous monitoring of their turbines, independent of the OEMs.de_CH
dc.language.isoende_CH
dc.rightsLicence according to publishing contractde_CH
dc.subjectArtificial intelligencede_CH
dc.subjectIndustryde_CH
dc.subjectInnovationde_CH
dc.subjectData sciencede_CH
dc.subjectDeep learningde_CH
dc.subjectMachine learningde_CH
dc.subjectPredictive maintenancede_CH
dc.subject.ddc006: Spezielle Computerverfahrende_CH
dc.subject.ddc620: Ingenieurwesende_CH
dc.titleImplementing AI-based innovation in industryde_CH
dc.typeKonferenz: Sonstigesde_CH
dcterms.typeTextde_CH
zhaw.departementSchool of Engineeringde_CH
zhaw.organisationalunitInstitut für Datenanalyse und Prozessdesign (IDP)de_CH
zhaw.conference.detailsLive-Case-Workshop for EMBA Digital Transformation, University Zurich, 6 July 2021de_CH
zhaw.funding.euNode_CH
zhaw.originated.zhawYesde_CH
zhaw.publication.statuspublishedVersionde_CH
zhaw.publication.reviewNot specifiedde_CH
zhaw.webfeedDatalabde_CH
zhaw.funding.zhawMachine Learning Based Fault Detection for Wind Turbinesde_CH
zhaw.author.additionalNode_CH
zhaw.display.portraitYesde_CH
Appears in collections:Publikationen School of Engineering

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Goren Huber, L., Acquaviva, M., & Pizza, G. (2021, July 6). Implementing AI-based innovation in industry. Live-Case-Workshop for EMBA Digital Transformation, University Zurich, 6 July 2021.
Goren Huber, L., Acquaviva, M. and Pizza, G. (2021) ‘Implementing AI-based innovation in industry’, in Live-Case-Workshop for EMBA Digital Transformation, University Zurich, 6 July 2021.
L. Goren Huber, M. Acquaviva, and G. Pizza, “Implementing AI-based innovation in industry,” in Live-Case-Workshop for EMBA Digital Transformation, University Zurich, 6 July 2021, Jul. 2021.
GOREN HUBER, Lilach, Michele ACQUAVIVA und Gianmarco PIZZA, 2021. Implementing AI-based innovation in industry. In: Live-Case-Workshop for EMBA Digital Transformation, University Zurich, 6 July 2021. Conference presentation. 6 Juli 2021
Goren Huber, Lilach, Michele Acquaviva, and Gianmarco Pizza. 2021. “Implementing AI-Based Innovation in Industry.” Conference presentation. In Live-Case-Workshop for EMBA Digital Transformation, University Zurich, 6 July 2021.
Goren Huber, Lilach, et al. “Implementing AI-Based Innovation in Industry.” Live-Case-Workshop for EMBA Digital Transformation, University Zurich, 6 July 2021, 2021.


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