Earticle

초록

영어

The In this paper, nonlinear analysis is used to study the possibility of chaotic behavior of pipeline pressure signal. Based on real-time data of pipeline leak monitoring system, oil pipeline pressure signals have been verified to be chao system by analyzing the chaotic characteristic of pressure time series. Six typical measured data of pipeline pressure are selected and reconstructed to the higher phase space. And then the largest Lyapunov exponent of each data is calculated to test and verify the chaotic characteristics of the pressure signal. For pipeline leakage fault diagnosis, the approximate entropy (ApEn) has been applied to extract the nonlinear and chaotic characteristics. By calculating the ApEn of normal, operation and leakage signals, the results indicate that the value ranges of three kinds of signals are above 0.35, below 0.025, and from 0.025 to 0.35. And the identification rate of pipeline leakage has been reached 90.0% only based on ApEn, which provide more effective basis for the classification and identification of chaotic characteristics of the pressure signal.

목차

Abstract
 1. Introduction
 2. Analysis of Chaotic Time Series
  2.1 Reconstruction of Phase Space
  2.2 Correlation Dimension D
  2.3 The Largest Lyapunov Exponent
  2.4 Approximate Entropy
 3. Case Study
 4. Conclusion
 References

키워드

저자

• Lei Shi [ School of Automation, Baotou Light Industry Vocational Technical College, Baotou, 014035, China ]
• Jianjun Xu [ College of Electrical Information Engineering, Northeast Petroleum University, Daqing, 163318, China ] Corresponding author
• Guohui Qu [ School of Petroleum Engineering, Northeast Petroleum University, Daqing,163318,P.R. China ]
• Limei Yan [ College of Electrical Information Engineering, Northeast Petroleum University, Daqing, 163318, China ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Smart Home

• 간기

  격월간

• pISSN

  1975-4094

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605