Evidence map›Paper›PMID 30013001›Full record

ArticleSensors (Basel, Switzerland)2018

Design of the Fall-Block Sensing of the Railway Line Pantograph Based on 3D Machine Vision Sensors.

Kai Yang, Jianping Peng, Chaozhe Jiang, Xi Jiang, Longfei Xiao, Bangping Wang, Xiaorong Gao, Liming Xie, Hua Peng

Open access · goldAbstract read
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
0.7field-weighted citation impact, top 31% 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
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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

9 authors at 2 institutions in 1 country.

Kai YangSchool of Physical Science and Technology, Southwest Jiaotong University, Chengdu 611756, China. yangkai@swjtu.edu.cn.
Jianping PengSchool of Physical Science and Technology, Southwest Jiaotong University, Chengdu 611756, China. adams.peng@swjtu.edu.cn.
Chaozhe JiangSchool of Transportation and Logistics, Southwest Jiaotong University, Chengdu 611756, China. jiangchaozhe@swjtu.edu.cn.
Xi JiangState Key Lab of Rail Traffic Control and Safety, Beijing Jiaotong Unversity, Beijing 100044, China. xjiang@bjtu.edu.cn.
Longfei XiaoSchool of Physical Science and Technology, Southwest Jiaotong University, Chengdu 611756, China. longfei.xiao@my.swjtu.edu.cn.
Bangping WangChengdu Lead Science & Technology Co., Ltd., Chengdu 610091, China. wangpangping-y@sclead.com.
Xiaorong GaoSchool of Physical Science and Technology, Southwest Jiaotong University, Chengdu 611756, China. gaoxiaorong@swjtu.edu.cn.
Liming XieChengdu Lead Science & Technology Co., Ltd., Chengdu 610091, China. xieliming@sclead.com.
Hua PengChengdu Lead Science & Technology Co., Ltd., Chengdu 610091, China. penghua-t@sclead.com.
Southwest Jiaotong University · CNBeijing Jiaotong University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As an important part of the electric locomotive in railway transportation, the sensing and inspection of the pantograph has a significant effect on the safe operation of the train. In general, the pantograph carbon slip detection items include slide wear detection, slip strip crack detection, carbon slip fall-block detection and slip strip wear detection. The emergence and development of structured light measurement technology with 3D sensors provide new technical means for the acquisition of spatial 3D information. The three-dimensional data can not only obtain more information but also reduce the data deviation, thereby improving the measurement accuracy and work efficiency. At present, few studies have been conducted on the slide block and partial wear of the carbon slide. Therefore, this paper studies the detection of the pantograph slide block based on 3D sensor measurement technology. The experimental results indicate that it is feasible to adopt 3D measurement technology to detect the fall-block of the pantograph slide. In addition, a sound detection effect can also be obtained.

Indexed as

3D optical sensorimage processingpantographsurface defect

Identifiers

PMID30013001
PMCPMC6069041
OpenAlexW2884377680

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.