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
2015 ◽  
Vol 778 ◽  
pp. 195-198 ◽  
Author(s):  
Hai Bing Xiao

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.


Sensors ◽  
2017 ◽  
Vol 17 (3) ◽  
pp. 586 ◽  
Author(s):  
Jon Mabe ◽  
Joseba Zubia ◽  
Eneko Gorritxategi

2020 ◽  
Vol 151 ◽  
pp. 106379
Author(s):  
Yeping Peng ◽  
Junhao Cai ◽  
Tonghai Wu ◽  
Guangzhong Cao ◽  
Ngaiming Kwok ◽  
...  

Sensors ◽  
2019 ◽  
Vol 19 (14) ◽  
pp. 3162 ◽  
Author(s):  
Ran Jia ◽  
Biao Ma ◽  
Changsong Zheng ◽  
Xin Ba ◽  
Liyong Wang ◽  
...  

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.


2019 ◽  
Vol 2019 (23) ◽  
pp. 8667-8670
Author(s):  
Yunbo Zuo ◽  
Yuhai Gu ◽  
Yanhai Zhang

Author(s):  
Alessandro Augusto Olimpio Ferreira Vittorino ◽  
Túlio Alves Rodrigues ◽  
Marco Aurélio Freitas Santos Júnior ◽  
Washington Martins da Silva Jr.

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