Evidence map›Paper›PMID 41094967›Full record

ReviewSensors (Basel, Switzerland)2025

Cost-Effectiveness of Structural Health Monitoring in Aviation: A Literature Review.

Pietro Ballarin, Giuseppe Sala, Alessandro Airoldi

Abstract readReview
In one paragraph

Review in Sensors (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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

3 authors.

Pietro BallarinDepartment of Aerospace Science and Technology, Politecnico di Milano, 20156 Milan, Italy.ORCID 0000-0002-0631-5746
Giuseppe SalaDepartment of Aerospace Science and Technology, Politecnico di Milano, 20156 Milan, Italy.ORCID 0000-0003-1997-6073
Alessandro AiroldiDepartment of Aerospace Science and Technology, Politecnico di Milano, 20156 Milan, Italy.ORCID 0000-0002-4938-3407

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

(1) Background: Structural Health Monitoring Systems (SHMSs) can reduce maintenance costs and aircraft downtime. However, their economic impact remains underexplored, particularly in cost-benefit terms. (2) Methods: This study conducted a targeted literature review on all the existing studies consisting of seventeen economic analyses of SHMS applications. Key features-such as SHMS type, structural material, vehicle type, integration stage, and cost elements-were classified to identify prevailing trends and gaps. (3) Results: The analysis revealed a predominance of piezoelectric-based SHMS applied to metallic fixed-wing aircraft, with limited attention to composite structures and e-VTOLs. Most studies focused on maintenance phase impacts, overlooking integration costs during manufacturing. Potential benefits like operational life extension, prognostic capabilities, and safety margin reduction were rarely explored, while critical drawbacks such as detection performance, reliability, and power consumption were underrepresented. Maintenance and fuel costs were the most frequently considered economic drivers; downtime costs were often neglected. (4) Conclusions: Although the majority of reviewed studies suggest a positive economic impact from SHMS implementation, significant gaps remain. Future research should address SHMS reliability, integration during early design stages, and applications to emerging aircraft like e-VTOLs to fully realize SHMS economic advantages.

Indexed as

AircraftAviationCost-Benefit AnalysisHumansMonitoring, Physiologicaeronautical structurescompositeseconomic impact assessmentfiber optic sensorsmaintenancepiezoelectric sensorsproductionstructural health monitoring

Identifiers

PMID41094967
PMCPMC12526806

What OpenQuestion holds

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Registered trials

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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.