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A machine learning approach for condition monitoring of wind turbine blade using autoregressive moving average (ARMA) features through vibration signals: a comparative study
Research article (Progress in Industrial Ecology An International Journal, 2018) · cited 21× · AI/ML
A machine learning approach for condition monitoring of wind turbine blade using autoregressive moving average (ARMA) features through vibration signals: a comparative study
Summary
A machine learning approach for condition monitoring of wind turbine blade using autoregressive moving average (ARMA) features through vibration signals: a comparative study is a scholarly article[1].
Key Facts
A machine learning approach for condition monitoring of wind turbine blade using autoregressive moving average (ARMA) features through vibration signals: a comparative study's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). A machine learning approach for condition monitoring of wind turbine blade using autoregressive moving average (ARMA) features through vibration signals: a comparative study. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-machine-learning-approach-for-condition-monitoring-of-wind-turbine-blade-using-autoregressive-moving-average-arma-feat
MLA“A machine learning approach for condition monitoring of wind turbine blade using autoregressive moving average (ARMA) features through vibration signals: a comparative study.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-machine-learning-approach-for-condition-monitoring-of-wind-turbine-blade-using-autoregressive-moving-average-arma-feat.
BibTeX@misc{4ortxyz_a-machine-learning-approach-for-condition-monitoring-of-wind-turbine-blade-using-autoregressive-moving-average-arma-feat_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A machine learning approach for condition monitoring of wind turbine blade using autoregressive moving average (ARMA) features through vibration signals: a comparative study}}, year = {2026}, url = {https://4ort.xyz/entity/a-machine-learning-approach-for-condition-monitoring-of-wind-turbine-blade-using-autoregressive-moving-average-arma-feat}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A machine learning approach for condition monitoring of wind turbine blade using autoregressive moving average (ARMA) features through vibration signals: a comparative study — https://4ort.xyz/entity/a-machine-learning-approach-for-condition-monitoring-of-wind-turbine-blade-using-autoregressive-moving-average-arma-feat (retrieved 2026-05-24)
