Evidence map›Paper›PMID 33333885›Full record

ArticleMicromachines2020

Improving the Detection Ability of Inductive Micro-Sensor for Non-Ferromagnetic Wear Debris.

Man Wang, Haotian Shi, Hongpeng Zhang, Dian Huo, Yucai Xie, Jun Su

Open access · goldAbstract read
In one paragraph

Article in Micromachines, 2020. 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
1.0field-weighted citation impact, top 26% of its field
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, 12 citations in OpenAlex.

  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

6 authors at 1 institution in 1 country.

Man WangMarine Engineering College, Dalian Maritime University, Dalian 116026, China.
Haotian ShiMarine Engineering College, Dalian Maritime University, Dalian 116026, China.ORCID 0000-0001-8222-8196
Hongpeng ZhangMarine Engineering College, Dalian Maritime University, Dalian 116026, China.
Dian HuoMarine Engineering College, Dalian Maritime University, Dalian 116026, China.
Yucai XieMarine Engineering College, Dalian Maritime University, Dalian 116026, China.
Jun SuMarine Engineering College, Dalian Maritime University, Dalian 116026, China.
Dalian Maritime University · CN

Funding

Dalian Science and Technology Innovation Fund 2019J12GX023Fundamental Research Funds for the Central Universities 3132019034Natural Science Foundation of China 51679022
6 · The paper itself

Abstract

The inductive debris sensor has been studied because of its wide application prospects in mechanical health monitoring. In order to ensure a high-precision detection performance, a comprehensive method to improve the detection sensitivity and detection ability of the inductive sensor for non-ferromagnetic metal debris is proposed. Based on the characteristics of the eddy current inside the metal, the change of the coil impedance caused by the metal debris is increased by enhancing the magnetic field strength and selecting the optimal excitation frequency. The impedance detection method involving inductance and resistance parameters is used to improve the detection limit of non-ferromagnetic metal debris. The experimental results verify that the magnetic field in the detection region can be enhanced by adding a silicon steel strip (paramagnetic material) in the central hole of the coil, thereby greatly improving the detection sensitivity of the inductive sensor, and the concentrated distribution of the magnetic field avoids the double-peak signals generated by a single particle. The characteristics of the signal amplitude of non-ferromagnetic debris with excitation frequency are studied. Higher inductance, resistance amplitudes, and signal-to-noise ratio (SNR) can be obtained by using a high-frequency alternating current. Compared with inductance parameter detection, resistance parameter detection can detect smaller non-ferromagnetic debris. Combining the detection results of the inductance and resistance parameters can effectively improve the sensor's ability to detect non-ferromagnetic debris.

Indexed as

detection abilityexcitation frequencyinductance parameternon-ferromagnetic debrisresistance parameter

Identifiers

PMID33333885
PMCPMC7765305
OpenAlexW3113211790

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.