A methodology for online wear debris morphology and composition analysis

M. A. Khan, A. G. Starr, D. Cooper

Research output: Contribution to journalArticlepeer-review

13 Citations (Scopus)


Online or inline detection of basic debris features, i.e. size, quantity, size distribution, shape, and compositions simultaneously With real time diagnostics is one of the possible ways to perform Wear debris analysis with high reliability. At present many techniques and sensors are available that can perform near real time detection and diagnostics for debris quantitative features. But to perform real time detection and diagnostics for features like shape and composition still requires a reliable technical concept.

In this article a new technique for online wear debris shape and composition analysis is described. The developed technique is a combination of hardware and software based oil imaging technology for shape and composition detection. Rule-based algorithms are used to perform near real time debris analysis diagnostics. An experimental study is also presented that shows the possible potential of the developed technique on real applications.

Original languageEnglish
Pages (from-to)785-796
Number of pages12
JournalProceedings of the Institution of Mechanical Engineers, Part J: Journal of Engineering Tribology
Issue number7
Publication statusPublished - Nov 2008


  • wear debris
  • debris basic features
  • image processing and real time diagnostics


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