.png){kind=icon}
Return
A capacitive-inductive complementary magnetic plug sensor
.png){kind=icon}
PRE
AI
DOI：10.1016/j.measurement.2026.122624.png)
.png){kind=icon}
Original request for help.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
Oil debris monitoring represents a critical technique for mechanical condition monitoring and fault diagnosis. Nevertheless, conventional debris detection methods are incapable of realizing online material identification of particulate debris. To overcome this limitation, a novel dual-mode magnetic plug sensor incorporating capacitive-inductive complementary sensing mechanism is proposed for online detection and classification of multi-material debris in lubricating oil. In this paper, theoretical models characterizing inductive and capacitive debris detection are firstly established. Subsequently, a magnetic plug sensor with complementary capacitiveinductive configuration is designed, and its detection principle is analyzed and verified via numerical simulation. Finally, an experimental platform is developed to evaluate the sensing performance of the proposed plug-in sensor. Experimental results indicate that the sensor can effectively detect ferromagnetic debris of 141 mu m, nonferromagnetic metal debris of 427 mu m, and non-metallic debris of 322 mu m, while achieving accurate material discrimination based on characteristic output signals. The proposed dual-mode sensor offers an innovative scheme for online multi-material debris identification, exhibiting significant potential for practical engineering applications.
Keywords:
Magnetic plugsensor
Capacitive-inductive complementary
Online debris detection
Fault diagnosis
Journal
IF:
5.6
Papers:
2.0W
Citations:
5.4W
Organization
Cited Papers
No cited papers available