Operations and maintenance of offshore wind turbines (OWTs) play an important role in the
development of offshore wind farms. Compared with operations, maintenance is a critical …

Recently, with the emergence of Industry 4.0 (I4. 0), smart systems, machine learning (ML)
within artificial intelligence (AI), predictive maintenance (PdM) approaches have been …

The amount of data extracted from production processes has increased exponentially due to
the proliferation of sensing technologies. When processed and analyzed, data can bring out …

This paper reviews the recent literature on machine learning (ML) models that have been
used for condition monitoring in wind turbines (eg blade fault detection or generator …

Industry 4.0 is considered to be the fourth industrial revolution introducing a new paradigm
of digital, autonomous, and decentralized control for manufacturing systems. Two key …

With the tremendous revival of artificial intelligence, predictive maintenance (PdM) based on
data-driven methods has become the most effective solution to address smart manufacturing …

Advanced manufacturing is one of the core national strategies in the US (AMP), Germany
(Industry 4.0) and China (Made-in China 2025). The emergence of the concept of Cyber …

When put into practice in the real world, predictive maintenance presents a set of challenges
for fault detection and prognosis that are often overlooked in studies validated with data from …

With the increase in the amount of data captured during the manufacturing process,
monitoring systems are becoming important factors in decision making for management …

Failure prediction is the task of forecasting whether a material system of interest will fail at a
specific point of time in the future. This task attains significance for strategies of industrial …