Evidence map›Paper›PMID 30486302›Full record

ArticleSensors (Basel, Switzerland)2018

Magnetic Properties of Ferromagnetic Particles under Alternating Magnetic Fields: Focus on Particle Detection Sensor Applications.

Ran Jia, Biao Ma, Changsong Zheng, Liyong Wang, Xin Ba, Qiu Du, Kai Wang

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Sensors (Basel, Switzerland), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Ran JiaSchool of Mechanical Engineering, Beijing Institute of Technology, No. 5 South Zhongguancun Street HaiDian District, Beijing 100081, China. jiaran89@126.com.ORCID 0000-0002-8430-4073
Biao MaSchool of Mechanical Engineering, Beijing Institute of Technology, No. 5 South Zhongguancun Street HaiDian District, Beijing 100081, China. mabiao@bit.edu.cn.
Changsong ZhengSchool of Mechanical Engineering, Beijing Institute of Technology, No. 5 South Zhongguancun Street HaiDian District, Beijing 100081, China. zhengchangsong@bit.edu.cn.
Liyong WangThe Ministry of Education Key Laboratory of Modern Measurement and Control Technology, Beijing Information Science and Technology University, No. 12 Xiaoying East Street, HaiDian District, Beijing 100192, China. wangliyong@bistu.edu.cn.
Xin BaSchool of Mechanical Engineering, Beijing Institute of Technology, No. 5 South Zhongguancun Street HaiDian District, Beijing 100081, China. baxin0802@163.com.
Qiu DuSchool of Mechanical Engineering, Beijing Institute of Technology, No. 5 South Zhongguancun Street HaiDian District, Beijing 100081, China. duqiu@bit.edu.cn.
Kai WangSchool of Mechanical Engineering, Beijing Institute of Technology, No. 5 South Zhongguancun Street HaiDian District, Beijing 100081, China. 2120160388@bit.edu.cn.

Funding

Beijing finance found of science and technology planning project KZ201611232032National Natural Science Foundation of China 51475044
6 · The paper itself

Abstract

The electromagnetic wear particles detection sensor has been widely studied due to its ability to monitor the wear status of equipment in real time. To precisely estimate the change of the magnetic energy of the sensor coil caused by the wear particles, the magnetic property models of wear particles under the alternating magnetic field was established. The models consider the hysteresis effect and the eddy current effect of the wear particles. The analysis and experimental results show that with the increase of the effective field frequency, the change of the magnetic energy caused by the wear particles gradually decrease, which makes the induced electromotive force output by the sensor reduce with the decrease of the particle speed, so a signal compensation method is presented to obtain a unified signal when the same wear particle passing through the sensor in different speeds. The magnetic coupling effect between the two adjacent wear particles is analyzed. The result illustrates that the change of the magnetic energy caused by the dual wear particles system is larger than the sum of the energy variation caused by two independent wear particles, and with the increase of the interparticle distance, the magnetic coupling effect gradually weakens and disappears.

Indexed as

magnetic propertiessensorswear particle

Identifiers

PMID30486302
PMCPMC6308425

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.