Evidence map›Paper›PMID 33546510›Full record

ArticleMicromachines2021

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

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

Abstract read
In one paragraph

Article in Micromachines, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

9 authors.

Hongpeng ZhangMarine Engineering College, Dalian Maritime University, Dalian 116026, China.
Haotian ShiMarine Engineering College, Dalian Maritime University, Dalian 116026, China.ORCID 0000-0001-8222-8196
Wei LiMarine Engineering College, Dalian Maritime University, Dalian 116026, China.
Laihao MaMarine Engineering College, Dalian Maritime University, Dalian 116026, China.
Xupeng ZhaoMarine Engineering College, Dalian Maritime University, Dalian 116026, China.
Zhiwei XuMarine Engineering College, Dalian Maritime University, Dalian 116026, China.
Chenyong WangMarine Engineering College, Dalian Maritime University, Dalian 116026, China.
Yucai XieMarine Engineering College, Dalian Maritime University, Dalian 116026, China.
Yuwei ZhangMarine Engineering College, Dalian Maritime University, Dalian 116026, China.

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

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.

Indexed as

condition monitoringhydraulic oilimpedance micro-sensormetal debris

Identifiers

PMID33546510
PMCPMC7913635

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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.