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A fault diagnosis method for offshore wind turbine bearing based on adaptive deep echo state network and bidirectional long short term memory network in noisy environment
Research article (Ocean Engineering, 2024) · cited 18× · AI/ML
A fault diagnosis method for offshore wind turbine bearing based on adaptive deep echo state network and bidirectional long short term memory network in noisy environment
Summary
A fault diagnosis method for offshore wind turbine bearing based on adaptive deep echo state network and bidirectional long short term memory network in noisy environment is a scholarly article[1].
Key Facts
A fault diagnosis method for offshore wind turbine bearing based on adaptive deep echo state network and bidirectional long short term memory network in noisy environment's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). A fault diagnosis method for offshore wind turbine bearing based on adaptive deep echo state network and bidirectional long short term memory network in noisy environment. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-fault-diagnosis-method-for-offshore-wind-turbine-bearing-based-on-adaptive-deep-echo-state-network-and-bidirectional-l
MLA“A fault diagnosis method for offshore wind turbine bearing based on adaptive deep echo state network and bidirectional long short term memory network in noisy environment.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-fault-diagnosis-method-for-offshore-wind-turbine-bearing-based-on-adaptive-deep-echo-state-network-and-bidirectional-l.
BibTeX@misc{4ortxyz_a-fault-diagnosis-method-for-offshore-wind-turbine-bearing-based-on-adaptive-deep-echo-state-network-and-bidirectional-l_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A fault diagnosis method for offshore wind turbine bearing based on adaptive deep echo state network and bidirectional long short term memory network in noisy environment}}, year = {2026}, url = {https://4ort.xyz/entity/a-fault-diagnosis-method-for-offshore-wind-turbine-bearing-based-on-adaptive-deep-echo-state-network-and-bidirectional-l}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A fault diagnosis method for offshore wind turbine bearing based on adaptive deep echo state network and bidirectional long short term memory network in noisy environment — https://4ort.xyz/entity/a-fault-diagnosis-method-for-offshore-wind-turbine-bearing-based-on-adaptive-deep-echo-state-network-and-bidirectional-l (retrieved 2026-05-24)
