Evidence map›Paper›PMID 31739486›Full record

ArticleSensors (Basel, Switzerland)2019

The Effects of Position on the Wear Debris Detection with Planar Inductor.

Yi Yin, Zhijian Liu, Jie Zheng, Liang Chen, Sen Wu, Saijie Wang, Zhijun Yan, Xinxiang Pan

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2019. 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
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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

8 authors.

Yi YinCollege of Marine Engineering, Dalian Maritime University, Dalian 116026, China.
Zhijian LiuCollege of Marine Engineering, Dalian Maritime University, Dalian 116026, China.
Jie ZhengCollege of Marine Engineering, Dalian Maritime University, Dalian 116026, China.
Liang ChenCollege of Marine Engineering, Dalian Maritime University, Dalian 116026, China.
Sen WuCollege of Marine Engineering, Dalian Maritime University, Dalian 116026, China.
Saijie WangCollege of Science, Dalian Maritime University, Dalian 116026, China.
Zhijun YanCollege of Marine Engineering, Dalian Maritime University, Dalian 116026, China.
Xinxiang PanCollege of Marine Engineering, Dalian Maritime University, Dalian 116026, China.ORCID 0000-0002-0251-5679

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Wear debris detection is an effective method to determine the running state of the machine. Recently, the planar inductor is commonly used to detect wear debris. The previous studies have found that the inductive signal would be varied while changing the position of wear debris pass through. However, the effect of position on the wear debris detection is not well understood. In this paper, a novel detection system in which the position of wear debris pass through could be adjusted precisely is designed. By changing the position in horizontal or vertical direction, the inductive signals of the wear debris were acquired. In the horizontal direction, the experimental results show that the amplitude of the inductive signal first increases and then decreases when the position changes from the center of the planar inductor to the outer. The maximum inductive signal appears when the wear debris pass through the edge of the inner coil, which is 20% higher than that for the center and much higher than that for the edge of outer coil. In the vertical direction, the signal decreases almost linearly when the position is away from the planar inductor. For every 0.1 mm step far away the planar inductor, the signal amplitude drops by approximately 10%. The variation trend of our experimental results is consistent with the numerical simulation results of magnetic intensity around the planar inductor.

Indexed as

horizontal directionplanar inductorvertical directionwear debris

Identifiers

PMID31739486
PMCPMC6891667

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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.