Rapidly evolving renewable energy generation technologies and the ever-increasing scale
of renewable energy installations are driving the need for more accurate, faster, and smarter …

Wind turbines are becoming increasingly important in the generation of clean, renewable
energy worldwide. To ensure their dependable and accessible operation, advanced real …

Advances in technology have enabled the use of sensors with varied modalities to monitor
different parts of systems, each providing diverse levels of information about the underlying …

Health indicators (HI) are crucial in early fault alarm and degradation monitoring of
mechanical failures. In recent years, many HIs are developed and reported, however, a …

This paper presents a data-driven approach to short-term wind turbine fault prediction and
condition monitoring based on a hybrid architecture of recurrent neural network and long …

The rapid development of big data technology and machine learning has increasingly
focused attention on fault diagnosis in complex chemical processes. However, data-driven …

Over the years, researchers have continued to put forward solutions to lessen the threats
faced by whales within their ecosystem. The correct detection of the different species of …

Anomalies in wind turbines pose significant risks of costly downtime and maintenance,
underscoring the importance of early detection for reliable operation. However, conventional …

The reliable operation of high-speed wire rod finishing mills is crucial in the steel production
enterprise. As complex system-level equipment, it is difficult for high-speed wire rod finishing …

Faults identification plays a vital role in improving the safety and reliability of industrial
machinery. Deep learning has stepped into the scene as a promising approach for detecting …