Evidence map›Paper›PMID 40533473›Full record

ArticleMicrosystems & nanoengineering2025

Intelligent planetary gear fault diagnosis system based on MEMS acoustic emission sensor.

Hanjie Dou, Tao Liu, Zhihao Li, Jixuan Zhang, Jiaqian Yang, Yuchen Mao, Wanyu Xu, Xiaojing Mu

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Microsystems & nanoengineering, 2025. 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

8 authors.

Hanjie DouKey Laboratory of Optoelectronic Technology and Systems, Ministry of Education and International Research and Development Center of Micro-Nano Systems and New Materials Technology, Chongqing University, Chongqing, China.ORCID http://orcid.org/0009-0002-0882-156X
Tao LiuKey Laboratory of Optoelectronic Technology and Systems, Ministry of Education and International Research and Development Center of Micro-Nano Systems and New Materials Technology, Chongqing University, Chongqing, China.
Zhihao LiKey Laboratory of Optoelectronic Technology and Systems, Ministry of Education and International Research and Development Center of Micro-Nano Systems and New Materials Technology, Chongqing University, Chongqing, China.
Jixuan ZhangKey Laboratory of Optoelectronic Technology and Systems, Ministry of Education and International Research and Development Center of Micro-Nano Systems and New Materials Technology, Chongqing University, Chongqing, China.
Jiaqian YangKey Laboratory of Optoelectronic Technology and Systems, Ministry of Education and International Research and Development Center of Micro-Nano Systems and New Materials Technology, Chongqing University, Chongqing, China.
Yuchen MaoKey Laboratory of Optoelectronic Technology and Systems, Ministry of Education and International Research and Development Center of Micro-Nano Systems and New Materials Technology, Chongqing University, Chongqing, China.
Wanyu XuKey Laboratory of Optoelectronic Technology and Systems, Ministry of Education and International Research and Development Center of Micro-Nano Systems and New Materials Technology, Chongqing University, Chongqing, China.
Xiaojing MuKey Laboratory of Optoelectronic Technology and Systems, Ministry of Education and International Research and Development Center of Micro-Nano Systems and New Materials Technology, Chongqing University, Chongqing, China. mxjacj@cqu.edu.cn.ORCID http://orcid.org/0000-0003-2024-2595

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Early equipment fault diagnosis can identify potential risks, significantly reduce maintenance costs, and minimize property damage. However, vibration, strain, and force sensors operating at low frequencies with narrow bandwidths are insufficiently sensitive to fault information, making early fault prediction challenging. Here, we introduce a high-performance, cost-effective, and tiny-sized micro-electromechanical system (MEMS) acoustic emission sensor. This sensor utilizes a 10 × 11 hexagonal array of piezoelectric micromachined ultrasonic transducers with a chip size of 4 mm × 4 mm × 0.4 mm. The sensor is encapsulated using an epoxy/Al

Identifiers

PMID40533473
PMCPMC12177076

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.