完整後設資料紀錄
DC 欄位 | 值 | 語言 |
---|---|---|
dc.contributor.author | 黃兆民 | en_US |
dc.contributor.author | Chau Min Huang | en_US |
dc.contributor.author | 白明憲 | en_US |
dc.date.accessioned | 2014-12-12T01:15:43Z | - |
dc.date.available | 2014-12-12T01:15:43Z | - |
dc.date.issued | 2007 | en_US |
dc.identifier.uri | http://140.113.39.130/cdrfb3/record/nctu/#GT009514595 | en_US |
dc.identifier.uri | http://hdl.handle.net/11536/38588 | - |
dc.description.abstract | 本專利目的在建立一個智慧型揚聲器失真診斷專家系統。揚聲器工作在大訊號的情形下,許多揚聲器部位的非線性效應便會顯現,非線性會造成聲音的失真(Distortion) 破壞音質。過往針對揚聲器缺陷的診斷仰賴專門人士進行人工判讀,在效率、方便性、一致性上均不及電腦。本系統使用模糊類神經網路架構 (Neural Fuzzy System)製作專門用於揚聲器缺陷診斷的專家系統,針對不同的失真型態,可以診斷出造成失真的來源並提出改善建議。文末,兩個真實的揚聲器將作為實驗品,比較此專家系統與傳統方法的診斷結果。結果可顯示,兩者診斷結果吻合,且專家系統較傳統診斷方法更為簡單、更有效率。 | zh_TW |
dc.description.abstract | An intelligent diagnostic system for the voice-coil loudspeakers is proposed. The defects discussed in this paper are caused by loudspeaker nonlinearities. When a loudspeaker works in the large signal domain, many nonlinearities of the loudspeaker may appear, and nonlinearities cause distortions destroying the sound quality. This intelligent diagnostic system consists of a defect database and a fault inference module. There are six kinds of defects chosen in this paper, and a large signal modeling technique using the electromechanical analogous circuit is employed for generating the defect database. A neural fuzzy network is exploited for intelligent inference of defects base on the defect database. Experiments of two real loudspeakers indicate the reliability of this diagnostic system. | en_US |
dc.language.iso | en_US | en_US |
dc.subject | 診斷系統 | zh_TW |
dc.subject | 動圈式揚聲器 | zh_TW |
dc.subject | 非線性 | zh_TW |
dc.subject | diagnostic system | en_US |
dc.subject | voice-coil loudspeaker | en_US |
dc.subject | nonlinearity | en_US |
dc.title | 智慧型揚聲器非線性診斷系統 | zh_TW |
dc.title | Expert diagnostic system for voice-coil loudspeakers using nonlinear modeling | en_US |
dc.type | Thesis | en_US |
dc.contributor.department | 機械工程學系 | zh_TW |
顯示於類別: | 畢業論文 |