Song, Mingming, Moaveni, Babak, and Hines, Eric. Hierarchical Bayesian quantification of aerodynamic effects on an offshore wind turbine under varying environmental and operational conditions. Retrieved from https://par.nsf.gov/biblio/10559602. Mechanical Systems and Signal Processing 224.C Web. doi:10.1016/j.ymssp.2024.112174.

Song, Mingming, Moaveni, Babak, & Hines, Eric. Hierarchical Bayesian quantification of aerodynamic effects on an offshore wind turbine under varying environmental and operational conditions. Mechanical Systems and Signal Processing, 224 (C). Retrieved from https://par.nsf.gov/biblio/10559602. https://doi.org/10.1016/j.ymssp.2024.112174

Song, Mingming, Moaveni, Babak, and Hines, Eric. "Hierarchical Bayesian quantification of aerodynamic effects on an offshore wind turbine under varying environmental and operational conditions". Mechanical Systems and Signal Processing 224 (C). Country unknown/Code not available: Elsevier. https://doi.org/10.1016/j.ymssp.2024.112174. https://par.nsf.gov/biblio/10559602.

@article{osti_10559602,
place = {Country unknown/Code not available}, title = {Hierarchical Bayesian quantification of aerodynamic effects on an offshore wind turbine under varying environmental and operational conditions}, url = {https://par.nsf.gov/biblio/10559602}, DOI = {10.1016/j.ymssp.2024.112174}, abstractNote = {}, journal = {Mechanical Systems and Signal Processing}, volume = {224}, number = {C}, publisher = {Elsevier}, author = {Song, Mingming and Moaveni, Babak and Hines, Eric}, }