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JACIII Vol.3 No.1 pp. 50-55
doi: 10.20965/jaciii.1999.p0050
(1999)

Paper:

Determinism Measurement in Time Series by Chaotic Approach and Its Applications

Yasunari Fujimoto and Tadashi Iokibe

Meidensha Corporation 36-2 Nihonbashi Hakozakicho, Chuo-ku, Tokyo 103-8515, Japan

Received:
July 17, 1998
Accepted:
September 18, 1998
Published:
February 20, 1999
Keywords:
Chaos, Trajectory parallel measurement, Time series analysis, Trajectory, Determinism, Stochastic process, Diagnosis, Automobile
Abstract

Frequently irregular-looking time series may have a deterministic cause, which is why it is called deterministic chaos. Even if a time series has a little noise, it is not always easy to recognize noise by looking at data. Fast Fourier transform (FFT) is used to extract characteristic frequencies. A chaotic time series consists of an infinite number of frequency elements, producing a broad continuous power spectrum but has few distinguishable characteristics. We propose a way, called trajectory parallel measurement (TPM), based on the chaotic approach to distinguish determinism and randomness in a time series, and apply this to a chaotic time series with random noise, summarizing the results of practical application in diagnosing automatic transmission.

Cite this article as:
Yasunari Fujimoto and Tadashi Iokibe, “Determinism Measurement in Time Series by Chaotic Approach and Its Applications,” J. Adv. Comput. Intell. Intell. Inform., Vol.3, No.1, pp. 50-55, 1999.
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