引文
[1]SURACE C,RUOTOLO R.Crack detection of a beamusing the wavelet transform.In:Proceedings the 12thInternational Modal Analysis Conf[C].Honolulu:Ha-waii,1994.1141-1147.
[2]SUN Z,CHANG C C.Structural damage assessmentbased on wavelet packet transform[J].J Structure En-gineering,2002,128(10):1354-1361.
[3]段晨东,李凌均,何正嘉.第二代小波变换在旋转机械故障诊断中的应用[J].机械科学与技术,2004,23(2):224-225.
[4]DAUBECHIES W S.Factoring wavelet transform intolifting steps[J].Math Anal Appl.1998,4(3):247-269.
[5]飞思科技产品研发中心.小波分析理论与MATLA-BR2007实现[M].北京:电子工业出社,2007:375-381.
[6]孙增寿,韩建刚,任伟新.基于小波分析的结构损伤检测研究进展[J].地震工程与工程振动,2005,25(2):93-99.
[7]何正嘉,陈雪峰,段晨东,等.早期故障预示的若干方法及应用[J].振动工程学报,2004,17(5):309-312.
[8]姜洪开,何正嘉,段晨东,等.自适应冗余第二代小波设计及齿轮箱故障特征提取[J].西安交通大学学报,2005,39(7):715-718.
[9]王忠民,乐全明,杨光亮,等.基于提升小波和神经网络的超高压电网故障类型识别[J].华东电力,2006,34(2):29-33.
[10]郑华珍,乐全明,郁惟镛,等.基于小波理论的超高压电网故障时刻提取[J].电网技术,2005,29(19):33-38.
[11]冯彩红,韩捷,李凌均.全信息小波包分析及其在旋转机械故障中的应用[J].机械强度,2006,28(5):639-642.
[12]马波,高金吉,江志农.自适应提升小波在往复机械故障检测中的应用[J].流体机械,2007,35(4):23-27.
[13]段晨东,何正嘉,姜洪开.非线性小波变换在故障特征提取中的应用[J].振动工程学报,2005,18(1):129-132.
[14]唐贵基,王誉蓉,胡爱军,等.基于第二代小波变换的旋转机械振动信号去噪[J].噪声与振动控制,2007,(1):51-53.
[15]周瑞,鲍文,左国华,等.基于改进冗余提升方案的汽轮机组振动故障特征提取[J].中国电机工程学报,2008,28(18):88-93.
[16]LI Z,HE Z J,ZI Y Y,et al.Bearing condition monito-ring based on shock pulse method and improved redun-dant lifting scheme[J].Mathematics and computers insimulation,2008,79:319-338.
[17]CAO HR,CHEN X F,ZI Y Y,et al.End milling toolbreakage detection using lifting scheme and Mahalano-bis distance[J].Machine Tools&Manufacture,2008,48(2):141-80.
[18]陈香朋,曹思远.第二代小波变换及其在地震信号去噪中的应用[J].石油物探,2004,43(6):547-550.
[19]ERGUN E.Electrocardiogram signals de-noising u-sing lifting-based discrete wavelet transform[J].Computers in Biology and Medicine,2004,34:479-493.