publication . Bachelor thesis . 2011

Image Analysis in the Field of Oil Contamination Monitoring

Ceco, Ema;
Open Access English
  • Published: 01 Jan 2011
  • Publisher: Linköpings universitet, Datorseende
  • Country: Sweden
Abstract
Monitoring wear particles in lubricating oils allows specialists to evaluate thehealth and functionality of a mechanical system. The main analysis techniquesavailable today are manual particle analysis and automatic optical analysis. Man-ual particle analysis is effective and reliable since the analyst continuously seeswhat is being counted . The drawback is that the technique is quite time demand-ing and dependent of the skills of the analyst. Automatic optical particle countingconstitutes of a closed system not allowing for the objects counted to be observedin real-time. This has resulted in a number of sources of error for the instrument.In this thesis a new ...
Subjects
free text keywords: contaminants in oil, counting particles, image analysis, oil condition monitoring, sizing particles, ISO4406, wear particles, Computer Vision and Robotics (Autonomous Systems), Datorseende och robotik (autonoma system)
Related Organizations
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