Hybrid Feature Extraction of Pipeline Microstates Based on Φ-OTDR Sensing System. (22nd September 2019)

• Record Type: Journal Article
• Authors: Hu, Yanzhu; Meng, Zhen; Ai, Xinbo; Li, Han; Hu, Yu; Zhao, Huiyang
• Other Names: Pineda-Sanchez Manuel Academic Editor.
• Is Part Of: Journal of control science and engineering. Volume 2019(2019)
• Publication Date: 2019-09-22
• Subjects: Control theory -- Periodicals; 629.831205
• DOI: 10.1155/2019/6087582
• Languages: English
• ISSNs: 1687-5249

Abstract

Abstract : This paper proposes a general integration method which can effectively describe the characteristics of pipeline leakage and help distinguish multiple pipeline microstates. Since the rapid development of Φ-OTDR in recent years, this technology has been applied to more and more fields, such as fiber optic safety monitoring, seismic monitoring, and structural health monitoring. Among them, Φ-OTDR has the characteristic of continuous full-scale monitoring in pipeline monitoring, but there are few researches on pipeline state characteristics at present. In this paper, based on the analysis of the pipeline state with Φ-OTDR technology, a method of extracting multiple microstates of pipelines is proposed. This method combined with the peak-to-average power ratio, short-term interval zero crossing, and fractal characteristics in the frequency domain can effectively characterize the microstate of pipes and provide support for identification of more microstates of pipelines. These features reflect the common characteristics of leaks in gas pipelines and liquid pipelines. Meanwhile, their combination features can represent the small differences in pipeline states. The experimental results show that the method can effectively characterize the microstate information of the pipeline, and the recognition rate of the hybrid feature under two kinds of pipeline leakage and multipressure conditions reaches 91% and 83%.