子波关联维分析在缺陷振动检测中的应用

基于小波强局部分析能力和分形强非线性处理能力的优势联合，提出了缺陷振动检测的子波关联维分析法、该方法首先采用UDWT对振动波形进行分频，并确定含缺陷信息的关键频段；再对有效子波实施关联维分析，在敏感尺度区间内设立关联维阈值判据，进行缺陷检测．数值模型试验验证表明，该技术具有弱缺陷特征检测能力强、参数化和高效率等特点以及较好的应用潜力．

Application of sub-wave correlation dimension analysis to fault vibration detection

Based on the effective combination of the high ability of wavelet in local signal analysis with the powerful nonlinear treatment capability of fractal, a sub-wave correlation dimension analysis method is proposed for fault vibration detection. Firstly, the UDWT is adopted for signal frequency analysis to determine the key frequency bands containing fault information; then, correlation dimension analysis of effective sub-waves is performed, and the correlation dimension threshold criterion is set up in sensitive scale interval for fault detection. The verification of the numerical model by experiments shows that the technique is of high efficiency in parameterized detection of weak fault characteristics, hence the method is well promising.