Crack Detection in Pipelines Using Capacitive Sensors

Abstract

 Detection of cracks in pipes which are buried under the ground at greater depths is consuming task. Humans can’t be utilized to detect cracks in buried pipelines. So we propose a Robot that navigates through a pipeline and detect cracks in such buried pipelines using capacitive sensors.Capacitive sensors that used here for detecting cracks are efficient,economic, reliable and compact. Another purpose of using this method is, for an unknown crack in pipeline, in which the diameter is small, has to be analysed in a more significant manner. It is harder to find the exact lo and also the devices should be smaller and compact. Hence in order to detect the exact location of cracks in such pipes we need to dig the entire soil and check the crackmanually. This leads to waste of money be overcome by the proposed method of crack detection.

Authors and Affiliations

J. Senthil Kumar

Keywords

Related Articles

 ELECTRICITY PRODUCTION FROM WASTE WATER BY MICROBIAL FUEL CELL

 A microbial fuel cell (MFC) is a bio-electrochemical system that converts the chemical energy in the organic compounds such as acetate, lactate, and glucose. It converts renewable energy sources to electrical ener...

SPIRAL WAVE IN NETWORKS OF HODGKIN-HUXLEY NEURONS: CHANNEL NOISE-INDUCED PHASE TRANSITION

The phase transition of spiral waves in networks of Hodgkin-Huxley neurons impelled by channel noise is examined in point of interest. All neurons in the networks are combined with little world associations, and the out...

 FAULT DIAGNOSIS OF MEMORIES USING BIST AND ITS RELIABILITY

[sub][/sub] New memory technologies and processes introduce new defects that cause previously unknown faults. Dynamic faults are among these new faults; they can take place in the absence of the traditional static f...

 Assessing the Level of Uncertainty of small samples of Multidimensional Biological and Biometric Data

 It is shown that small selections of biometric data of the person have essential uncertainty which needs to be considered at multidimensional statistical estimates. Within a hypothesis of normal distribution of th...

 Devanagari Handwritten Numeral Recognition Using Probabilistic Neural Network

 In the last half century, the English character recognition was studied and the results were of such type that’s it can produce technology driven applications. But the same approach cannot be used in case of India...

Download PDF file
  • EP ID EP95617
  • DOI -
  • Views 80
  • Downloads 0

How To Cite

J. Senthil Kumar (30).  Crack Detection in Pipelines Using Capacitive Sensors. International Journal of Engineering Sciences & Research Technology, 2(4), 820-827. https://europub.co.uk/articles/-A-95617