Publication type: Conference other
Type of review: Not specified
Title: Implementing smart maintenance in industry : deep learning for wind turbine fault detection
Authors: Goren Huber, Lilach
et. al: No
Conference details: Expert Group "Smart Maintenance" Meeting, online, 18 March 2021
Issue Date: Mar-2021
Language: English
Subjects: Predictive maintenance; Smart maintenance; Deep learning; Wind turbine; Machine learning; Anomaly detection; Renewable energy; Industry use case
Subject (DDC): 006: Special computer methods
620: Engineering
URI: https://digitalcollection.zhaw.ch/handle/11475/22922
Fulltext version: Published version
License (according to publishing contract): Licence according to publishing contract
Departement: School of Engineering
Organisational Unit: Institute of Data Analysis and Process Design (IDP)
Published as part of the ZHAW project: Machine Learning Based Fault Detection for Wind Turbines
Appears in collections:Publikationen School of Engineering

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Goren Huber, L. (2021, March). Implementing smart maintenance in industry : deep learning for wind turbine fault detection. Expert Group “Smart Maintenance” Meeting, Online, 18 March 2021.
Goren Huber, L. (2021) ‘Implementing smart maintenance in industry : deep learning for wind turbine fault detection’, in Expert Group ‘Smart Maintenance’ Meeting, online, 18 March 2021.
L. Goren Huber, “Implementing smart maintenance in industry : deep learning for wind turbine fault detection,” in Expert Group “Smart Maintenance” Meeting, online, 18 March 2021, Mar. 2021.
GOREN HUBER, Lilach, 2021. Implementing smart maintenance in industry : deep learning for wind turbine fault detection. In: Expert Group „Smart Maintenance“ Meeting, online, 18 March 2021. Conference presentation. März 2021
Goren Huber, Lilach. 2021. “Implementing Smart Maintenance in Industry : Deep Learning for Wind Turbine Fault Detection.” Conference presentation. In Expert Group “Smart Maintenance” Meeting, Online, 18 March 2021.
Goren Huber, Lilach. “Implementing Smart Maintenance in Industry : Deep Learning for Wind Turbine Fault Detection.” Expert Group “Smart Maintenance” Meeting, Online, 18 March 2021, 2021.


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