Oil debris monitoring has played an irreplaceable role in ascertaining the health condition of
rotating machinery (eg engine, gearbox). Although many sensing methods for detecting …

Mechanical debris is an important product of friction wear, which is also a crucial approach
to know the running status of a machine. Many studies have been conducted on mechanical …

Mechanism-based wear debris classification (WDC) is important for root cause analysis and
prediction of wear related faults. Compared to manual classifications, automatic WDC is …

Purpose–The dependency on human expertise for analysis and interpretation is the main
reason for wear debris analysis not being used in industry to its full potential and becoming …

This paper provides a general overview of developments and progress in quantitative
computer image analysis as applied to wear particle identification/classification technology …

The shape features of wear particles generated from wear track usually contain plenty of
information about the wear states of a machinery operational condition. Techniques to …

In this study, the automated classification system, developed previously by the authors, was
used to classify wear particles. Three kinds of wear particles, fatigue, abrasive and adhesive …

Fatigue, oxide and spherical particles are the three most common kinds of wear particles in
rotate vector (RV) reducer and are often bonded together in ferrography images. However …

The process to identify wear particles concerns a variety of parameters, some of which may
be redundant, and influences the efficiency of computer image analysis. In order to improve …

Wear appears as gradual removal of a material from contacting and rubbing surfaces of
solids during their relative sliding. The mechanism of wear involves formation of debris …