A Novel Impedance Micro-Sensor for Metal Debris Monitoring of Hydraulic Oil

Author:

Zhang Hongpeng,Shi HaotianORCID,Li Wei,Ma Laihao,Zhao Xupeng,Xu Zhiwei,Wang Chenyong,Xie Yucai,Zhang Yuwei

Abstract

Hydraulic oil is the key medium for the normal operation of hydraulic machinery, which carries various wear debris. The information reflected by the wear debris can be used to predict the early failure of equipment and achieve predictive maintenance. In order to realize the real-time condition monitoring of hydraulic oil, an impedance debris sensor that can detect inductance and resistance parameters is designed and studied in this paper. The material and size of wear debris can be discriminated based on inductance-resistance detection method. Silicon steel strips and two rectangular channels are designed in the sensor. The silicon steel strips are used to enhance the magnetic field strength, and the double rectangular detection channels can make full use of the magnetic field distribution region, thereby improving the detection sensitivity and throughput of the sensor. The comparison experiment shows that the coils in series are more suitable for the monitoring of wear debris. By comparing and analyzing the direction and the presence or absence of the signal pulses, the debris sensor can detect and distinguish 46 µm iron particles and 110 µm copper particles. This impedance detection method provides a new technical support for the high-precision distinguishing measurement of metal debris. The sensor can not only be used for oil detection in the laboratory, but also can be made into portable oil detection device for machinery health monitoring.

Funder

Natural Science Foundation of China

Fundamental Research Funds for the Central Universities

Dalian Science and Technology Innovation Fund

Publisher

MDPI AG

Subject

Electrical and Electronic Engineering,Mechanical Engineering,Control and Systems Engineering

Cited by 8 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. MONITORING OF LUBRICANT OIL OF HYDRAULIC SYSTEMS AS PART OF PREDICTIVE MAINTENANCE;Journal of Interdisciplinary Debates;2024-03-08

2. FPGA-Based Design of Oil Debris Signal Processing System;2023 International Conference on Sensing, Measurement & Data Analytics in the era of Artificial Intelligence (ICSMD);2023-11-02

3. A Highly Sensitive Wear Debris Sensor Based on Differential Detection;IEEE Sensors Journal;2023-08-01

4. Health condition monitoring of a complex hydraulic system using Deep Neural Network and DeepSHAP explainable XAI;Advances in Engineering Software;2023-01

5. A sensor containing high permeability material for mechanical wear particle detection;Sensors and Actuators A: Physical;2023-01

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