Optimal selection of autoregressive model coefficients for early damage detectability with an application to wind turbine blades

Research article (Mechanical Systems and Signal Processing, 2015) · cited 49× · AI/ML
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Optimal selection of autoregressive model coefficients for early damage detectability with an application to wind turbine blades

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Optimal selection of autoregressive model coefficients for early damage detectability with an application to wind turbine blades is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Optimal selection of autoregressive model coefficients for early damage detectability with an application to wind turbine blades. Retrieved May 24, 2026, from https://4ort.xyz/entity/optimal-selection-of-autoregressive-model-coefficients-for-early-damage-detectability-with-an-application-to-wind-turbin
MLA “Optimal selection of autoregressive model coefficients for early damage detectability with an application to wind turbine blades.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/optimal-selection-of-autoregressive-model-coefficients-for-early-damage-detectability-with-an-application-to-wind-turbin.
BibTeX @misc{4ortxyz_optimal-selection-of-autoregressive-model-coefficients-for-early-damage-detectability-with-an-application-to-wind-turbin_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Optimal selection of autoregressive model coefficients for early damage detectability with an application to wind turbine blades}}, year = {2026}, url = {https://4ort.xyz/entity/optimal-selection-of-autoregressive-model-coefficients-for-early-damage-detectability-with-an-application-to-wind-turbin}, note = {Accessed: 2026-05-24}}
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