Evidence map›Paper›PMID 42425935›Full record

ArticleMicrosystems & nanoengineering2026

Intelligent monitoring system for pipeline status based on MEMS acoustic emission sensors.

Tao Liu, Wenwu Yan, Dongxiao Li, Jidong Cai, Jian Feng, Hanjie Dou, Jiaqian Yang, Pengfan Wu, Hongliang Wang, Xiaojing Mu

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Microsystems & nanoengineering, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

10 authors.

Tao Liu *State key Laboratory of Extreme Environment Optoelectronic Dynamic Measurement Technology and Instrument, Science and Technology on Electronic Test and Measurement Laboratory, North University of China, Taiyuan, PR China. 20250112@nuc.edu.cn.
Wenwu Yan *State key Laboratory of Extreme Environment Optoelectronic Dynamic Measurement Technology and Instrument, Science and Technology on Electronic Test and Measurement Laboratory, North University of China, Taiyuan, PR China.ORCID http://orcid.org/0009-0006-1947-0258
Dongxiao Li *Key Laboratory of Optoelectronic Technology & Systems Ministry of Education, International R & D center of Micro-nano Systems and New Materials Technology, Chongqing University, Chongqing, PR China.
Jidong CaiState key Laboratory of Extreme Environment Optoelectronic Dynamic Measurement Technology and Instrument, Science and Technology on Electronic Test and Measurement Laboratory, North University of China, Taiyuan, PR China.
Jian FengState key Laboratory of Extreme Environment Optoelectronic Dynamic Measurement Technology and Instrument, Science and Technology on Electronic Test and Measurement Laboratory, North University of China, Taiyuan, PR China.
Hanjie DouKey Laboratory of Optoelectronic Technology & Systems Ministry of Education, International R & D center of Micro-nano Systems and New Materials Technology, Chongqing University, Chongqing, PR China.ORCID http://orcid.org/0009-0002-0882-156X
Jiaqian YangKey Laboratory of Optoelectronic Technology & Systems Ministry of Education, International R & D center of Micro-nano Systems and New Materials Technology, Chongqing University, Chongqing, PR China.
Pengfan WuKey Laboratory of Optoelectronic Technology & Systems Ministry of Education, International R & D center of Micro-nano Systems and New Materials Technology, Chongqing University, Chongqing, PR China.
Hongliang WangState key Laboratory of Extreme Environment Optoelectronic Dynamic Measurement Technology and Instrument, Science and Technology on Electronic Test and Measurement Laboratory, North University of China, Taiyuan, PR China.
Xiaojing MuKey Laboratory of Optoelectronic Technology & Systems Ministry of Education, International R & D center of Micro-nano Systems and New Materials Technology, Chongqing University, Chongqing, PR 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

Pipeline structural health monitoring is critical for global energy security, yet traditional bulk piezoelectric acoustic emission (AE) sensors are inherently bulky, narrow-band, and unsuitable for large-scale, distributed deployment. Here, we present a highly integrated, broadband microelectromechanical systems (MEMS) AE sensor based on ScAlN piezoelectric micromachined ultrasonic transducers (PMUTs) for intelligent pipeline damage monitoring. To address the acoustic impedance mismatch between the silicon-based micro-chip and external media, a composite acoustic matching layer comprising epoxy resin doped with 60 wt% Al

Identifiers

PMID42425935
PMCPMC13351072

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.