Major failures in wind turbines are expensive to repair and cause loss of revenue due to
long downtime. Condition‐based maintenance, which provides a possibility to reduce …

Gearbox has proven to be a major contributor toward downtime in wind turbines. The
majority of failures in the gearbox originate from the gearbox bearings. An early indication of …

This paper presents an anomaly detection approach using machine learning to achieve
condition monitoring for wind turbines. The approach applies the information in supervisory …

Using supervisory control and data acquisition (SCADA) data to detect faults in wind turbines
(WTs) has gained interest over the last few years. The SCADA system is installed by default …

Wind turbines are, generally, placed at remote locations and are subject to harsh environmental
conditions throughout their lifetimes. Consequently, major failures in wind turbines are …

Smart manufacturing is reshaping the manufacturing industry by boosting the integration of
information and communication technologies and manufacturing process. As a result, …

The digital transformation of manufacturing industries is expected to yield increased productivity.
Companies collect large volumes of real-time machine data and are seeking new ways …

A significant proportion of motor vehicle crash fatalities are potentially preventable with
improved acute care. By increasing the accuracy of triage more victims could be transported …

In recent years Supervisory Control and Data Acquisition (SCADA) system has been used
to monitor the condition of wind turbine components. SCADA being an integral part of wind …

This paper proposes a fault detection framework for the condition monitoring of wind turbines.
The framework models and analyzes the data in supervisory control and data acquisition …