福建工程学院学报
福建工程學院學報
복건공정학원학보
Journal of FuJian University of Technology
2015年
4期
317-322
,共6页
核独立分量%结构振动%信号处理%降噪%HHT边际谱
覈獨立分量%結構振動%信號處理%降譟%HHT邊際譜
핵독립분량%결구진동%신호처리%강조%HHT변제보
kernel independent component (KIC)%structural vibration%signal processing%noise reduction%marginal spectrum of Hilbert-Huang transform
降噪处理是分析结构振动信号、提取特征参数、研究损伤识别方法的基础，核独立分量分析（KICA）采用的核方法为结构振动信号的降噪处理提供了新的方法；通过对比 KICA 与其他算法降噪后信号的 HHT 边际谱，验证了 KICA 对低阻尼钢框架结构标准损伤模型降噪的优良性能，特别是提高了对结构安全至关重要的低频振动部分的能量估计的准确度。
降譟處理是分析結構振動信號、提取特徵參數、研究損傷識彆方法的基礎，覈獨立分量分析（KICA）採用的覈方法為結構振動信號的降譟處理提供瞭新的方法；通過對比 KICA 與其他算法降譟後信號的 HHT 邊際譜，驗證瞭 KICA 對低阻尼鋼框架結構標準損傷模型降譟的優良性能，特彆是提高瞭對結構安全至關重要的低頻振動部分的能量估計的準確度。
강조처리시분석결구진동신호、제취특정삼수、연구손상식별방법적기출，핵독립분량분석（KICA）채용적핵방법위결구진동신호적강조처리제공료신적방법；통과대비 KICA 여기타산법강조후신호적 HHT 변제보，험증료 KICA 대저조니강광가결구표준손상모형강조적우량성능，특별시제고료대결구안전지관중요적저빈진동부분적능량고계적준학도。
Noise reduction is the basis of analysing structural vibration signals,extracting feature pa-rameters and exploring damage identification methods.The method of kernel independent component analysis (KICA)has provided a new way for the noise reduction of structural vibration signals.The marginal spectra of Hilbert-Huang transform (HHT)of signals denoised by KICA were compared to that of other available algorithms.The reliable performance of KICA in noise reduction of standard damage model of steel frame structure with low damping was verified.The estimation accuracy of low frequency vibration energy that is the critical part of structural safety was considerably improved.
