Evidence map›Paper›PMID 42740086›Full record

ArticleSensors (Basel, Switzerland)2026

Nondestructive Characterization of Internal Defects in Fiber Couplers Using OFDR-Based Thermal Excitation.

Hao Lin, Mingye Fu, Xiang Zhang, Cuofu Lin, Jun Yang

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. Not yet cited in PubMed.

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0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Hao LinSchool of Information Engineering, Guangdong University of Technology, Guangzhou 510006, China.
Mingye FuSchool of Information Engineering, Guangdong University of Technology, Guangzhou 510006, China.
Xiang ZhangSchool of Information Engineering, Guangdong University of Technology, Guangzhou 510006, China.
Cuofu LinSchool of Information Engineering, Guangdong University of Technology, Guangzhou 510006, China.
Jun YangSchool of Information Engineering, Guangdong University of Technology, Guangzhou 510006, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Fiber-optic devices are widely used in communication, sensing, and other fiber-optic systems, and their quality directly affects system performance and reliability. However, internal defects in packaged devices remain difficult to characterize nondestructively, limiting their application in extreme environments. This work presents an active thermal-excitation method that uses the fiber embedded within the device as a distributed sensor. Controlled temperature changes are applied to excite the thermal response of the internal structure. Optical frequency-domain reflectometry (OFDR) then measures the distributed thermal strain along the fiber at millimeter-scale spatial resolution, enabling characterization of otherwise invisible internal defects. Using fused-fiber couplers as representative devices, we evaluated non-uniformity defects in the fused-taper and package-bonding regions. A finite-element model of an idealized coupler under thermal excitation was established to define the ideal thermal-response characteristics. The experimental results were broadly consistent with the simulated responses. Deviations from the predicted bonding-region symmetry and fused-taper uniformity indicated the possible presence of package-bonding and fused-taper defects, respectively. Dismantling representative couplers confirmed the locations and types of the defects. Applying the same criteria to the tested 2 × 2 and 1 × 3 couplers supported the applicability of the method across configurations within the present sample set. This method provides a transferable, high-spatial-resolution, and nondestructive means for quality assessment and reliability screening of packaged fiber-optic devices.

Indexed as

distributed strainfiber couplernondestructive screeningoptical frequency-domain reflectometrythermal excitationthermomechanical non-uniformity

Identifiers

PMID42740086
PMCPMC13568078

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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.