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Volumn 14, Issue 6, 2000, Pages 1003-1010

Diagnosis with the correlation integral in time domain

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; AUTOMATION; CORRELATION METHODS; FAILURE (MECHANICAL); FAILURE ANALYSIS; INTEGRAL EQUATIONS; MACHINE VIBRATIONS; TIME DOMAIN ANALYSIS;

EID: 0034315887     PISSN: 08883270     EISSN: None     Source Type: Journal    
DOI: 10.1006/mssp.1999.1258     Document Type: Article
Times cited : (9)

References (6)
  • 1
    • 40749093037 scopus 로고
    • Measuring the strangeness of strange attractors
    • GRASSBERGER P., PROCACCIA I. Measuring the strangeness of strange attractors. Physica. 9D:1983;189-208.
    • (1983) Physica , vol.9 , pp. 189-208
    • Grassberger, P.1    Procaccia, I.2
  • 2
    • 0001419549 scopus 로고
    • Estimating the correlation dimension of an attractor from noisy and small datasets based on re-embedding
    • FRAEDRICH K., WANG R. Estimating the correlation dimension of an attractor from noisy and small datasets based on re-embedding. Physica. 65D:1993;373-398.
    • (1993) Physica , vol.65 , pp. 373-398
    • Fraedrich, K.1    Wang, R.2
  • 4
    • 0001413326 scopus 로고
    • Spurious dimension from correlation algorithms applied to limited time-series data
    • THEILER J. Spurious dimension from correlation algorithms applied to limited time-series data. Phys. Rev. A. 34:1986;2427-2431.
    • (1986) Phys. Rev. a , vol.34 , pp. 2427-2431
    • Theiler, J.1
  • 5
    • 0022855557 scopus 로고
    • Do climate attractors exist?
    • GRASSBERGER P. Do climate attractors exist? Nature. 323:1986;609-612.
    • (1986) Nature , vol.323 , pp. 609-612
    • Grassberger, P.1
  • 6
    • 5544310124 scopus 로고
    • Finite correlation dimension for stochastic systems with power-law spectra
    • OSBORNE A. R., PROVENZALE A. Finite correlation dimension for stochastic systems with power-law spectra. Physica. 35D:1989;357-381.
    • (1989) Physica , vol.35 , pp. 357-381
    • Osborne, A.R.1    Provenzale, A.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.