CAJ | 학술논문

针对轴向柱塞式液压泵性能退化中振动信号非线性强、退化特征提取困难等问题，提出基于形态非抽样融合与DCT（Discrete Cosine Transform）高阶奇异熵的退化特征提取方法。在一般框架下提出形态非抽样小波融合方法，通过构建特征能量因子筛选各分解层近似信号，据融合规则实现双通道振动信号融合重构、改善重构信号的特征信息；并利用DCT高阶谱分析法对融合信号进一步处理，通过奇异值分解分别计算Shannon、Tsallis奇异熵作为液压泵性能退化特征向量；用仿真信号及液压泵实测振动信号验证该方法的有效性。
침대축향주새식액압빙성능퇴화중진동신호비선성강、퇴화특정제취곤난등문제，제출기우형태비추양융합여DCT（Discrete Cosine Transform）고계기이적적퇴화특정제취방법。재일반광가하제출형태비추양소파융합방법，통과구건특정능량인자사선각분해층근사신호，거융합규칙실현쌍통도진동신호융합중구、개선중구신호적특정신식；병이용DCT고계보분석법대융합신호진일보처리，통과기이치분해분별계산Shannon、Tsallis기이적작위액압빙성능퇴화특정향량；용방진신호급액압빙실측진동신호험증해방법적유효성。
Tosolvetheproblemthatvibrationsignalsofahydraulicpumpasusualarestronglynonlinearandits degradation features are difficult to extract,a degradation feature extraction method based upon morphological undecimated wavelet decomposition fusion (MUWDF)and DCT high order singular entropy was proposed.The MUWDF algorithm was presented under the general framework of morphological undecimated decomposition.The approximate signals of all decomposition layers were selected by using the feature energy factor and dual-channel vibration signals were fused according to the presented fusion rules so as to increase the proportion of feature information.On this basis,a high order spectrum analysis algorithm modified by DCT was proposed for further dealing with the fused signal.Shannon and Tsallis singular entropies,which were considered as fault degradation features of hydraulic pump,were respectively achieved by singular value decomposition.Finally,the proposed method was verified by using simulation signals and real pump vibration signals in various working conditions.