Home ›
Entities
› academia
› A data driven approach for condition monitoring of wind turbine blade using vibration signals through best-first tree algorithm and functional trees algorithm: A comparative study
A data driven approach for condition monitoring of wind turbine blade using vibration signals through best-first tree algorithm and functional trees algorithm: A comparative study
Research article (ISA Transactions, 2017) · cited 102× · AI/ML
A data driven approach for condition monitoring of wind turbine blade using vibration signals through best-first tree algorithm and functional trees algorithm: A comparative study
Summary
A data driven approach for condition monitoring of wind turbine blade using vibration signals through best-first tree algorithm and functional trees algorithm: A comparative study is a scholarly article[1].
Key Facts
A data driven approach for condition monitoring of wind turbine blade using vibration signals through best-first tree algorithm and functional trees algorithm: A comparative study's instance of is recorded as scholarly article[2].
References
Programmatic citations — every numbered marker resolves to a verifiable graph row below.
Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). A data driven approach for condition monitoring of wind turbine blade using vibration signals through best-first tree algorithm and functional trees algorithm: A comparative study. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-data-driven-approach-for-condition-monitoring-of-wind-turbine-blade-using-vibration-signals-through-best-first-tree-al
MLA“A data driven approach for condition monitoring of wind turbine blade using vibration signals through best-first tree algorithm and functional trees algorithm: A comparative study.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-data-driven-approach-for-condition-monitoring-of-wind-turbine-blade-using-vibration-signals-through-best-first-tree-al.
BibTeX@misc{4ortxyz_a-data-driven-approach-for-condition-monitoring-of-wind-turbine-blade-using-vibration-signals-through-best-first-tree-al_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A data driven approach for condition monitoring of wind turbine blade using vibration signals through best-first tree algorithm and functional trees algorithm: A comparative study}}, year = {2026}, url = {https://4ort.xyz/entity/a-data-driven-approach-for-condition-monitoring-of-wind-turbine-blade-using-vibration-signals-through-best-first-tree-al}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A data driven approach for condition monitoring of wind turbine blade using vibration signals through best-first tree algorithm and functional trees algorithm: A comparative study — https://4ort.xyz/entity/a-data-driven-approach-for-condition-monitoring-of-wind-turbine-blade-using-vibration-signals-through-best-first-tree-al (retrieved 2026-05-24)
