ICTACT Journal on Soft Computing

N. Lavanya ¹, G. Anand ¹, S. Srinivasan ¹

Affiliations
1 Department of Instrumentation Engineering, Anna University, Chennai, IN

Abstract

Pipeline networks are the most widely used mode for transporting fluids and gases around the world. Leakage in this pipeline causes harmful effects when the flowing fluid/gas is hazardous. Hence the detection of leak becomes essential to avoid/minimize such undesirable effects. This paper presents the leak detection by spectral analysis methods in a laboratory pipeline system. Transient in the pressure signal in the pipeline is created by opening and closing the exit valve. These pressure variations are captured and power spectrum is obtained by using Fast Fourier Transform (FFT) method and Filter Diagonalization Method (FDM). The leaks at various positions are simulated and located using these methods and the results are compared. In order to determine the quantity of leak a 2 × 1 fuzzy inference system is created using the upstream and downstream pressure as input and the leak size as the output. Thus a complete leak detection, localization and quantification are done by using only the pressure variations in the pipeline.

Keywords

Pipeline Detection, Spectral Analysis, FFT, FDM, Fuzzy Inference System (FIS).

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K. Kamalanand ¹, S. Srinivasan ¹

Affiliations
1 Department of Instrumentation Engineering, Madras Institute of Technology, Anna University, Tamil Nadu, IN

Abstract

In order to prevent, diagnose and treat vascular disease, detailed knowledge of blood vessel mechanics is essential. In this work, 3D finite element models of normal vessel and atherosclerotic vessel with 50% and 90% plaque deposition were developed. The developed models were meshed with tetrahedral elements using the Delaunay triangulation method and were simulated using actual blood pressure signals. Based on the transient analysis performed on the developed models, the parameters such as strain energy density and entropy per unit volume were obtained. Results demonstrate that an inverse relation exists between the considered mechanical parameters and the percentage of plaque deposited on the inner vessel wall. It was observed that the parameters decrease linearly with increasing plaque percentage. In this paper, the objectives of the study, the methodology and significant observations are discussed in detail.

Keywords

Blood Vessel Mechanics, Atherosclerosis, Plaque, Finite Element Model.

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