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2 results on '"Fabbri, Gregory Sean"'

1. An AI-based fault detection model using alarms and warnings from the SCADA system

Author

Pizza, Gianmarco, Notaristefano, Antonio, Fabbri, Gregory Sean, Goren Huber, Lilach, Pizza, Gianmarco, Notaristefano, Antonio, Fabbri, Gregory Sean, and Goren Huber, Lilach

Abstract

Predictive maintenance is a key element for lowering Operation and Maintenance (O&M) costs of wind turbines. Predictive maintenance models are usually based on drivetrain vibration data or operational timeseries from the Supervisory Control And Data Acquisition (SCADA) system, while readily available alarms and warnings from the SCADA system are typically not utilized. In this work we present a novel Artificial Intelligence (AI) based approach for early fault detection of wind turbines using alarms and warnings from the SCADA system.

Published
2021

2. An AI-based fault detection model using alarms and warnings from the SCADA system

Author

Pizza, Gianmarco, Notaristefano, Antonio, Fabbri, Gregory Sean, and Goren Huber, Lilach

Subjects
SCADA data, Artificial intelligence, Machine learning, Wind turbines, Predictive maintenance, Error logs, ComputerApplications_COMPUTERSINOTHERSYSTEMS, 006: Spezielle Computerverfahren, Fault detection, 620: Ingenieurwesen
Abstract

Predictive maintenance is a key element for lowering Operation and Maintenance (O&M) costs of wind turbines. Predictive maintenance models are usually based on drivetrain vibration data or operational timeseries from the Supervisory Control And Data Acquisition (SCADA) system, while readily available alarms and warnings from the SCADA system are typically not utilized. In this work we present a novel Artificial Intelligence (AI) based approach for early fault detection of wind turbines using alarms and warnings from the SCADA system.

Published
2020

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