[1]
|
Hocking M. Air quality in airplane cabins and similar enclosed spaces[M]. Berlin, Heidelberg:Springer, 2005
|
[2]
|
吕志民, 徐金梧, 翟绪圣.分形维数及其在滚动轴承故障诊断中的应用[J].机械工程学报, 1999, 35(2):88-91 doi: 10.3321/j.issn:0577-6686.1999.02.022Lü Z M, Xu J W, Zhai X S. Fractal dimension and its application in fault diagnosis of rolling bearing[J]. Chinese Journal of Mechanical Engineering, 1999, 35(2):88-91(in Chinese) doi: 10.3321/j.issn:0577-6686.1999.02.022
|
[3]
|
关贞珍, 郑海起, 杨云涛, 等.基于非线性几何不变量的轴承故障诊断方法研究[J].振动与冲击, 2009, 28(11):130-133 http://d.old.wanfangdata.com.cn/Periodical/zdycj200911032Guan Z Z, Zheng H Q, Yang Y T, et al. Fault diagnosis of bearing based on nonlinear time series of geometrical invariants[J]. Journal of Vibration and Shock, 2009, 28(11):130-133(in Chinese) http://d.old.wanfangdata.com.cn/Periodical/zdycj200911032
|
[4]
|
程军圣, 于德介, 杨宇.基于EMD和分形维数的转子系统故障诊断[J].中国机械工程, 2005, 16(12):1088-1091 doi: 10.3321/j.issn:1004-132X.2005.12.015Cheng J S, Yu D J, Yang Y. Fault diagnosis for rotor system based on EMD and fractal dimension[J]. China Mechanical Engineering, 2005, 16(12):1088-1091(in Chinese) doi: 10.3321/j.issn:1004-132X.2005.12.015
|
[5]
|
Perez-Ramirez C A, Amezquita-Sanchez J P, Valtierra-Rodriguez M, et al. Fractal dimension theory-based approach for bearing fault detection in induction motors[C]//Proceedings of 2016 IEEE International Autumn Meeting on Power, Electronics and Computing. Ixtapa, Mexico: IEEE, 2016: 1-6
|
[6]
|
Soleimani A, Khadem S E. Early fault detection of rotating machinery through chaotic vibration feature extraction of experimental data sets[J]. Chaos, Solitons & Fractals, 2015, 78:61-75 http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=3117ebd413396b8e2a292a30c0202065
|
[7]
|
汪慰军, 陈进, 吴昭同.关联维数在大型旋转机械故障诊断中的应用[J].振动工程学报, 2000, 13(2):229-234 doi: 10.3969/j.issn.1004-4523.2000.02.010Wang W J, Chen J, Wu Z T. Application of correlation dimension in fault diagnosis for large rotating machinery[J]. Journal of Vibration Engineering, 2000, 13(2):229-234(in Chinese) doi: 10.3969/j.issn.1004-4523.2000.02.010
|
[8]
|
Wu Z H, Huang N E. Ensemble empirical mode decomposi-tion:a noise-assisted data analysis method[J]. Advances in Adaptive Data Analysis, 2009, 1(1):1-41 http://d.old.wanfangdata.com.cn/Periodical/dianzixb201305033
|
[9]
|
Huang N E, Shen Z, Long S R, et al. The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis[J]. Proceedings of the Royal Society A:Mathematical, Physical and Engineering Sciences, 1998, 454(1971):903-995 doi: 10.1098/rspa.1998.0193
|
[10]
|
李东东, 周文磊, 郑小霞, 等.基于自适应EEMD和分层分形维数的风电机组行星齿轮箱故障检测东[J].电工技术学报, 2017, 32(22):233-241 http://d.wanfangdata.com.cn/Periodical/dgjsxb201722026Li D D, Zhou W L, Zheng X X, et al. Diagnosis of wind turbine planetary gearbox faults based on adaptive EEMD and hierarchical fractal dimension[J]. Transactions of China Electrotechnical Society, 2017, 32(22):233-241(in Chinese) http://d.wanfangdata.com.cn/Periodical/dgjsxb201722026
|
[11]
|
陈仁祥, 汤宝平, 马婧华.基于EEMD的振动信号自适应降噪方法[J].振动与冲击, 2012, 31(15):82-86 doi: 10.3969/j.issn.1000-3835.2012.15.016Chen R X, Tang B P, Ma J H. Adaptive de-noising method based on ensemble empirical mode decomposition for vibration signal[J]. Journal of Vibration and Shock, 2012, 31(15):82-86(in Chinese) doi: 10.3969/j.issn.1000-3835.2012.15.016
|
[12]
|
Hilborn R C, Ding M Z. Optimal reconstruction space for estimating correlation dimension[J]. International Journal of Bifurcation and Chaos, 1996, 6(2):377-381 doi: 10.1142/S0218127496000126
|
[13]
|
Grassberger P, Procaccia I. Characterization of strange attractors[J]. Physical Review Letters, 1983, 50(5):346-349 doi: 10.1103/PhysRevLett.50.346
|
[14]
|
加力康, 王勤贤, 杨兆建, 等.关联维数方法在转子系统载荷类型识别中的应用加[J].机械设计与制造, 2016, (8):65-68 doi: 10.3969/j.issn.1001-3997.2016.08.018Jia L K, Wang Q X, Yang Z J, et al. Application of correlation dimension in load type recognition of rotor system[J]. Machinery Design & Manufacture, 2016, (8):65-68(in Chinese) doi: 10.3969/j.issn.1001-3997.2016.08.018
|
[15]
|
党建武, 黄建国.基于G.P算法的关联维计算中参数取值的研究[J].计算机应用研究, 2004, 21(1):48-51 doi: 10.3969/j.issn.1001-3695.2004.01.014Dang J W, Huang J G. Study of the parameters used in calculating correlative dimension based on G.P algorithm[J]. Application Research of Computers, 2004, 21(1):48-51(in Chinese) doi: 10.3969/j.issn.1001-3695.2004.01.014
|