Evidence map›Paper›PMID 41902080›Full record

ArticleSensors (Basel, Switzerland)2026

Evaluation Method for Creep Damage of P92 Steel Based on Magnetic Barkhausen Noise and Magnetoacoustic Emission.

Ziyi Huang, Wuliang Yin, Xiaochu Pang, Xinnan Zheng, Xufei Liu, Lisha Peng

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 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

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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

6 authors.

Ziyi HuangDepartment of Electrical and Electronic Engineering, The University of Manchester, Manchester M13 9PL, UK.ORCID 0009-0006-8567-8292
Wuliang YinDepartment of Electrical and Electronic Engineering, The University of Manchester, Manchester M13 9PL, UK.ORCID 0000-0001-5927-3052
Xiaochu PangDepartment of Electrical and Electronic Engineering, The University of Manchester, Manchester M13 9PL, UK.ORCID 0009-0005-3349-4320
Xinnan ZhengDepartment of Electrical and Electronic Engineering, The University of Manchester, Manchester M13 9PL, UK.
Xufei LiuDepartment of Electrical Engineering, Tsinghua University, Beijing 100084, China.
Lisha PengDepartment of Electrical Engineering, Tsinghua University, Beijing 100084, China.ORCID 0000-0002-7315-2692

Funding

National Key Research and Development Program of China 2022YFF0605600
6 · The paper itself

Abstract

The application of ultra-supercritical power plant boilers is becoming increasingly widespread. P92 steel, as a typical material used for boiler main steam pipes, plays a critical role in unit safety, making the detection of its creep damage highly significant. However, existing conventional non-destructive testing methods are difficult to effectively detect creep damage. To address this issue, a magnetoacoustic emission (MAE)-magnetic Barkhausen noise (MBN) composite measurement system is developed, which is adapted to 20 Hz and 0.3 A sine wave excitation to trigger the synchronous pickup of MBN and MAE signals of P92 steel. After collecting signals with different creep life ratios (0%~100%) under working conditions of 650 °C and 100 MPa, time-domain (absolute mean, peak value, etc.) and frequency-domain (bandwidth) features are extracted. In response to the non-monotonicity between the magnetoacoustic features and the creep damage grade, principal component analysis (PCA) is introduced to reduce dimensionality. Different creep levels of samples in the two-dimensional principal component space are presented as clear gradient clustering, achieving the accurate differentiation of creep stages. Research has shown that the MAE-MBN composite system combined with PCA can effectively characterize the creep damage of P92 steel, providing a novel non-destructive detection path for the in-service life assessment of power plant components.

Indexed as

creep damage evaluationmagnetic Barkhausen noisemagnetoacoustic emissionprincipal component analysis

Identifiers

PMID41902080
PMCPMC13030807

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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.