Literature DB >> 33546510

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

Hongpeng Zhang1, Haotian Shi1, Wei Li1, Laihao Ma1, Xupeng Zhao1, Zhiwei Xu1, Chenyong Wang1, Yucai Xie1, Yuwei Zhang1.   

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.

Entities:  

Keywords:  condition monitoring; hydraulic oil; impedance micro-sensor; metal debris

Year:  2021        PMID: 33546510      PMCID: PMC7913635          DOI: 10.3390/mi12020150

Source DB:  PubMed          Journal:  Micromachines (Basel)        ISSN: 2072-666X            Impact factor:   2.891


  6 in total

1.  An online debris sensor system with vibration resistance for lubrication analysis.

Authors:  Yongbin Ding; Yanxue Wang; Jiawei Xiang
Journal:  Rev Sci Instrum       Date:  2016-02       Impact factor: 1.523

2.  A highly precise cross-capacitive sensor for metal debris detection in insulating oil.

Authors:  Tarikul Islam; Mujeeb Yousuf; Mohd Nauman
Journal:  Rev Sci Instrum       Date:  2020-02-01       Impact factor: 1.523

3.  A Novel On-Chip Impedance Sensor for the Detection of Particle Contamination in Hydraulic Oil.

Authors:  Hongpeng Zhang; Lin Zeng; Huaibo Teng; Xingming Zhang
Journal:  Micromachines (Basel)       Date:  2017-08-14       Impact factor: 2.891

4.  Comprehensive Improvement of the Sensitivity and Detectability of a Large-Aperture Electromagnetic Wear Particle Detector.

Authors:  Ran Jia; Biao Ma; Changsong Zheng; Xin Ba; Liyong Wang; Qiu Du; Kai Wang
Journal:  Sensors (Basel)       Date:  2019-07-18       Impact factor: 3.576

5.  Improving Sensitivity of a Micro Inductive Sensor for Wear Debris Detection with Magnetic Powder Surrounded.

Authors:  Liankun Liu; Liang Chen; Saijie Wang; Yi Yin; Dazhuang Liu; Sen Wu; Zhijian Liu; Xinxiang Pan
Journal:  Micromachines (Basel)       Date:  2019-07-01       Impact factor: 2.891

6.  Low Cost Photonic Sensor for in-Line Oil Quality Monitoring: Methodological Development Process towards Uncertainty Mitigation.

Authors:  Patricia Lopez; Jon Mabe; Guillermo Miró; Leire Etxeberria
Journal:  Sensors (Basel)       Date:  2018-06-22       Impact factor: 3.576

  6 in total
  1 in total

1.  Time-domain signal averaging to improve microparticles detection and enumeration accuracy in a microfluidic impedance cytometer.

Authors:  Brandon K Ashley; Umer Hassan
Journal:  Biotechnol Bioeng       Date:  2021-08-16       Impact factor: 4.530

  1 in total

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