@article{oai:nagasaki-u.repo.nii.ac.jp:00026679,
 author = {佐々木, 壮一 and 田中, 康大},
 issue = {97},
 journal = {長崎大学大学院工学研究科研究報告, Reports of Graduate School of Engineering, Nagasaki University},
 month = {Jul},
 note = {As first step for prediction of fan noise using machine learning, we predicted the trailing edge noise generated from a flat plate and a low-pressure fan based on Amiet's theory (J. Sound and Vib., 1976). At first, we reviewed the prediction methodology of the trailing edge noise, then the broadband noise evaluated by three different pressure power spectrum density (PSD) models were compared. As results of comparing the three models, the Willmarth and Roos model (J. of Fluid Mech., 1965) could express the tendency of the high-frequency sound, which is the feature of the trailing edge noise. The trailing edge noise in the low-pressure fan formed the broadband noise in audible band. However, all pressure PSD models could not express the entire spectral distributions with its own single function., 長崎大学大学院工学研究科研究報告, 51(97), pp.8-13; 2021},
 pages = {8--13},
 title = {低圧ファンから発生する後縁騒音に及ぼす圧力パワースペクトル密度の影響},
 volume = {51},
 year = {2021}
}