A Deposition Rate-Based Index of Debris Concentration and its Extraction Method for Online Image Visual Ferrography

Investigations on the relationship between wear debris residence time in lubrication systems and on-line oil sampling interval

(2019) Bin Fan et al.   TRIBOLOGY TRANSACTIONS

Detection of gear pitting failure progression with on-line particle monitoring

(2018) J. Kattelus et al.   TRIBOLOGY INTERNATIONAL

A review on lubricant condition monitoring information analysis for maintenance decision support

(2018) James M. Wakiru et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

A 3×3 wear debris sensor array for real time lubricant oil conditioning monitoring using synchronized sampling

(2017) Xiaoliang Zhu et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Modeling and experimental investigations on the relationship between wear debris concentration and wear rate in lubrication systems

(2017) Bin Fan et al.   TRIBOLOGY INTERNATIONAL

Simulation of Electrostatic Oil Line Sensing and validation using experimental results

(2017) R.C. Liu et al.   TRIBOLOGY INTERNATIONAL

Shape classification of wear particles by image boundary analysis using machine learning algorithms

(2016) Wei Yuan et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Tribological assessment of sliding pairs under damped harmonic excitation loading based on on-line monitoring methods

(2016) Wei Yuan et al.   TRIBOLOGY INTERNATIONAL

Ultrasonic echo waveshape features extraction based on QPSO-matching pursuit for online wear debris discrimination

(2015) Chao Xu et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Prediction on wear of a spur gearbox by on-line wear debris concentration monitoring

(2015) Song Feng et al.   WEAR

A comprehensive review of background subtraction algorithms evaluated with synthetic and real videos

(2014) Andrews Sobral et al.   COMPUTER VISION AND IMAGE UNDERSTANDING

Characterization of wear-debris group in on-line visual ferrographic images

(2014) Jiaoyi Wu et al.   PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART J-JOURNAL OF ENGINEERING TRIBOLOGY

Wear Condition Monitoring and Working Pattern Recognition of Piston Rings and Cylinder Liners Using On-Line Visual Ferrograph

(2014) Wei Cao et al.   TRIBOLOGY TRANSACTIONS

Study of on-line condition monitoring and fault feature extraction for marine diesel engines based on tribological information

(2014) Xinping Yan et al.   Proceedings of the Institution of Mechanical Engineers Part O-Journal of Risk and Reliability

Watershed-Based Morphological Separation of Wear Debris Chains for On-Line Ferrograph Analysis

(2013) Hongkun Wu et al.   TRIBOLOGY LETTERS

High Throughput Wear Debris Detection in Lubricants Using a Resonance Frequency Division Multiplexed Sensor

(2013) Li Du et al.   TRIBOLOGY LETTERS

Kalman Filter for Robot Vision: A Survey

(2011) S. Y. Chen   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

A high throughput inductive pulse sensor for online oil debris monitoring

(2010) Li Du et al.   TRIBOLOGY INTERNATIONAL

A New On-Line Visual Ferrograph

(2009) T. H. WU et al.   TRIBOLOGY TRANSACTIONS

Automated classification of wear particles based on their surface texture and shape features

(2007) Gwidon P. Stachowiak et al.   TRIBOLOGY INTERNATIONAL