Online wear particle detection sensors for wear monitoring of mechanical equipment-A review

2022 ◽  
pp. 1-1
Author(s):  
Ran Jia ◽  
Liyong Wang ◽  
Changsong Zheng ◽  
Tao Chen
Keyword(s):  
Wear Particle ◽  
Mechanical Equipment ◽  
Particle Detection ◽  
Wear Monitoring

Experimental Research on Diesel Engine Friction and Wear Based on Ferrographic Analysis

2015 ◽  
Vol 778 ◽  
pp. 195-198 ◽  
Author(s):  
Hai Bing Xiao
Keyword(s):  
Diesel Engine ◽  
Wear Mechanism ◽  
Friction And Wear ◽  
Test Bench ◽  
Particle Morphology ◽  
Wear Particle ◽  
Engine Test Bench ◽  
Experimental Scheme ◽  
Wear Monitoring ◽  
Engine Friction

This paper deals with the study of diesel engine friction and wear. The friction and wear mechanism of diesel engine was studied and the wear factors of diesel engine friction and wear was analyzed. According to the diesel engine test bench, diesel engine experimental scheme of oil testing was designed during running-in stage. Studies have shown that wear particle morphology of diesel engine from ferrographic analysis can reflect the degree of wear and wear mechanism during running-in stage, wear particle changed during running-in stage. Ferrographic monitoring is an effective method for diesel engine friction and wear monitoring.

scholarly journals Photonic Low Cost Micro-Sensor for in-Line Wear Particle Detection in Flowing Lube Oils

Sensors ◽  
2017 ◽  
Vol 17 (3) ◽  
pp. 586 ◽  
Author(s):  
Jon Mabe ◽  
Joseba Zubia ◽  
Eneko Gorritxategi
Keyword(s):  
Low Cost ◽  
Wear Particle ◽  
Particle Detection ◽  
Line Wear ◽  
Micro Sensor

WP-DRnet: A novel wear particle detection and recognition network for automatic ferrograph image analysis

2020 ◽  
Vol 151 ◽  
pp. 106379
Author(s):  
Yeping Peng ◽  
Junhao Cai ◽  
Tonghai Wu ◽  
Guangzhong Cao ◽  
Ngaiming Kwok ◽  
...  
Keyword(s):  
Image Analysis ◽  
Wear Particle ◽  
Particle Detection ◽  
Detection And Recognition

scholarly journals Comprehensive Improvement of the Sensitivity and Detectability of a Large-Aperture Electromagnetic Wear Particle Detector

Sensors ◽  
2019 ◽  
Vol 19 (14) ◽  
pp. 3162 ◽  
Author(s):  
Ran Jia ◽  
Biao Ma ◽  
Changsong Zheng ◽  
Xin Ba ◽  
Liyong Wang ◽  
...  
Keyword(s):  
Signal To Noise Ratio ◽  
Wear Particle ◽  
Impedance Change ◽  
Particle Detector ◽  
Particle Detection ◽  
Detection Range ◽  
Micro Particles ◽  
Mode Decomposition ◽  
Flux Change ◽  
Lock In

The electromagnetic wear particle detector has been widely studied due to its prospective applications in various fields. In order to meet the requirements of the high-precision wear particle detector, a comprehensive method of improving the sensitivity and detectability of the sensor is proposed. Based on the nature of the sensor, parallel resonant exciting coils are used to increase the impedance change of the exciting circuit caused by particles, and the serial resonant topology structure and an amorphous core are applied to the inductive coil, which improves the magnetic flux change of the inductive coil and enlarges the induced electromotive force of the sensor. Moreover, the influences of the resonance frequency on the sensitivity and effective particle detection range of the sensor are studied, which forms the basis for optimizing the frequency of the magnetic field within the sensor. For further improving the detectability of micro-particles and the real-time monitoring ability of the sensor, a simple and quick extraction method for the particle signal, based on a modified lock-in amplifier and empirical mode decomposition and reverse reconstruction (EMD-RRC), is proposed, which can effectively extract the particle signal from the raw signal with low signal-to-noise ratio (SNR). The simulation and experimental results show that the proposed methods improve the sensitivity of the sensor by more than six times.

scholarly journals Design of electromagnetic sensor for metal wear particle detection in oil

2019 ◽  
Vol 2019 (23) ◽  
pp. 8667-8670
Author(s):  
Yunbo Zuo ◽  
Yuhai Gu ◽  
Yanhai Zhang
Keyword(s):  
Wear Particle ◽  
Particle Detection ◽  
Metal Wear ◽  
Electromagnetic Sensor

scholarly journals Wear Particle Detection in the Lubricating Oil of the Rotating Machine Bearing by Ferrography Analytical Method using Image Processing and Neural Networks

1997 ◽  
Vol 117 (8) ◽  
pp. 1132-1139 ◽  
Author(s):  
Masatake Kawada ◽  
Shinji Utsumi ◽  
Lu Yi ◽  
Zen-Ichiro Kawasaki ◽  
Kenji Matsu-ura ◽  
...  
Keyword(s):  
Neural Networks ◽  
Image Processing ◽  
Analytical Method ◽  
Wear Particle ◽  
Lubricating Oil ◽  
Particle Detection ◽  
Rotating Machine

Small-Conductive-Particle Detection with a Microwave Resonant Cavity

2012 ◽  
Vol 132 (8) ◽  
pp. 788-793 ◽  
Author(s):  
Makoto Ikeda ◽  
Atsushi Mase ◽  
Kiichiro Uchino
Keyword(s):  
Resonant Cavity ◽  
Conductive Particle ◽  
Particle Detection ◽  
Microwave Resonant Cavity

METHOD FOR LUBRICATED SLIDING WEAR PARTICLE CHARACTERIZATION

2019 ◽  
Author(s):  
Alessandro Augusto Olimpio Ferreira Vittorino ◽  
Túlio Alves Rodrigues ◽  
Marco Aurélio Freitas Santos Júnior ◽  
Washington Martins da Silva Jr.
Keyword(s):  
Sliding Wear ◽  
Wear Particle ◽  
Particle Characterization ◽  
Lubricated Sliding
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