Vibration-Based Condition Monitoring of a Tractor Radiator using Machine Vision System

Vibration-Based Condition Monitoring of a Tractor Radiator using Machine Vision System
  IJETT-book-cover           
  
© 2022 by IJETT Journal
Volume-70 Issue-1
Year of Publication : 2022
Authors : Ganesan R, Dr.G.Sankaranarayanan, Dr.M.Pradeep Kumar, Dr.V.K.Bupesh Raja
DOI :  10.14445/22315381/IJETT-V70I1P233

How to Cite?

Ganesan R, Dr.G.Sankaranarayanan, Dr.M.Pradeep Kumar, Dr.V.K.Bupesh Raja, "Vibration-Based Condition Monitoring of a Tractor Radiator using Machine Vision System," International Journal of Engineering Trends and Technology, vol. 70, no. 3, pp. 295-301, 2022. Crossref, https://doi.org/10.14445/22315381/IJETT-V70I1P233

Abstract
This research proposes a new intelligent fault detection and condition monitoring system of a cooling radiator of a tractor using machine vision systems. The proposed system consists of several different procedures, including image capturing, image pre-processing, and image processing. The proposed system, as a novel idea, uses a white paper sticker of known real-world dimensions marked with a colour dot or dots in it. The scaling factor is calculated by correlating the real-world sticker dimensions and camera image dimensions. The colour dot is considered as the target in the region of interest. The image was captured in a video format using a DSLR camera fitted with a macro lens. The macro lens offers image capturing at close-ups. The video images are processed through the template matching algorithm to calculate the displacement of the target point. The calculated displacement values are converted into acceleration values using mathematical relationships. The vibration is measured at the same point using a conventional accelerometer and Dewesoft interface. A good agreement of vibration measurement is recorded between the vibration measured by image vision systems and accelerometers. The mounting of the radiator can be repaired or replaced by referring to the manufacturer catalogue specifications.

Keywords
Condition monitoring, tractor radiator, machine vision, DSLR camera, macro lens

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