Active noise control technique with machine learning functions for residential slit openings

2014 Fiscal Year Final Research Report

• Project/Area Number: 24560719
• Research Category: Grant-in-Aid for Scientific Research (C)
• Allocation Type: Multi-year Fund
• Section: 一般
• Research Field: Architectural environment/equipment
• Research Institution: Kyushu Institute of Technology
• Principal Investigator: ANAI Ken 九州工業大学, 大学院工学研究院, 准教授 (10325467)
• Project Period (FY): 2012-04-01 – 2015-03-31
• Keywords: スリット開口部 / アクティブ騒音制御 / 遮音フード / ニューラルネットワーク

Outline of Final Research Achievements

The results in this study by combination using of numerical simulations and real-scale model experiments are as follows. (1) It was grasped that the machine learning technique had an advantage of generating interference sounds over a traditional adaptive algorithm in terms of following toward higher-frequency noise. (2) A soundproof hood that was incorporated three speakers as secondary sources at the center of a slit opening and near the slit ends was devised for active control of noise through the slit. (3) It was suggested that control microphones should be effectively placed at two points of the center and near the end of the slit for the purpose of increasing the insulation performance to a wide area around the slit.

Free Research Field

建築環境，騒音予測，騒音対策