YJ Park, SKS Fan, CY Hsu - Processes, 2020 - mdpi.com
The main roles of fault detection and diagnosis (FDD) for industrial processes are to make an effective indicator which can identify faulty status of a process and then to take a proper …
J Lei, C Liu, D Jiang - Renewable energy, 2019 - Elsevier
Time-series data is widely adopted in condition monitoring and fault diagnosis of wind turbines as well as other energy systems, where long-term dependency is essential to form …
Wind turbine technology is experiencing rapid growth with respect to size, market share, and technological design. Operational and maintenance cost directly determine whether the …
This paper describes the development of a fault detection and diagnosis method to automatically identify different fault conditions of a hydraulic blade pitch system in a spar …
H Zhao, H Liu, W Hu, X Yan - Renewable energy, 2018 - Elsevier
Continuous monitoring of wind turbine health using early fault detection methods can improve turbine reliability and reduce maintenance costs before they reach a catastrophic …
Reliability improvement of wind turbine power generation is the key issue that can turn the wind power into one of the main power sources to respond to the world power demands …
X Wen, Z Xu - Expert Systems with Applications, 2021 - Elsevier
A large amount of data would be generated during the operation of wind turbine (WT), which is easy to cause dimensional disaster, and if more than one WT fault occur, multiple sensors …
This paper presents a test benchmark model for the evaluation of fault detection and accommodation schemes. This benchmark model deals with the wind turbine on a system …
In this paper, a robust data-driven fault detection approach is proposed with application to a wind turbine benchmark. The main challenges of the wind turbine fault detection lie in its …