PW Khan, YC Byun - International Journal of Green Energy, 2024 - Taylor & Francis
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 …
X Li, Y Wang, G Zhang, B Tang, Y Qin - Mechanical Systems and Signal …, 2024 - Elsevier
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 …
VSB Rama, SH Hur, JM Yang - IEEE Access, 2024 - ieeexplore.ieee.org
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 …
F Zhang, Q Jin, D Li, Y Zhang, Q Zhu - ACS omega, 2024 - ACS Publications
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 …
CF de Lima Munguba, GNP Leite, FC Farias… - … Applications of Artificial …, 2024 - Elsevier
Anomalies in wind turbines pose significant risks of costly downtime and maintenance, underscoring the importance of early detection for reliable operation. However, conventional …
C Wang, N Tang, Q Zhang, L Gao… - … -Computer Modeling in …, 2024 - cdn.techscience.cn
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 …
M Bessaoudi, H Habbouche, T Benkedjouh… - … International Journal of …, 2024 - Springer
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 …