Evidence map›Paper›PMID 32156027›Full record

ArticleSensors (Basel, Switzerland)2020

Low-Cost Piezoelectric Sensors for Time Domain Load Monitoring of Metallic Structures During Operational and Maintenance Processes.

Irene Perez-Alfaro, Daniel Gil-Hernandez, Oscar Muñoz-Navascues, Jesus Casbas-Gimenez, Juan Carlos Sanchez-Catalan, Nieves Murillo

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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.

Irene Perez-AlfaroUniversidad de Zaragoza, Pedro Cerbuna 12, E-50009 Zaragoza, Spain.ORCID 0000-0002-7212-012X
Daniel Gil-HernandezIndustry and Transport Division, TECNALIA, Pº Mikeletegi 7, E-20009 Donostia-San Sebastian, Spain.ORCID 0000-0002-0297-7064
Oscar Muñoz-NavascuesIndustry and Transport Division, TECNALIA, Pº Mikeletegi 7, E-20009 Donostia-San Sebastian, Spain.ORCID 0000-0002-2321-4015
Jesus Casbas-GimenezIndustry and Transport Division, TECNALIA, Pº Mikeletegi 7, E-20009 Donostia-San Sebastian, Spain.ORCID 0000-0002-4119-9090
Juan Carlos Sanchez-CatalanIndustry and Transport Division, TECNALIA, Pº Mikeletegi 7, E-20009 Donostia-San Sebastian, Spain.ORCID 0000-0002-0321-7905
Nieves MurilloIndustry and Transport Division, TECNALIA, Pº Mikeletegi 7, E-20009 Donostia-San Sebastian, Spain.ORCID 0000-0003-3476-8459

Funding

Ekonomiaren Garapen eta Lehiakortasun Saila, Eusko Jaurlaritza KK-2019/00051-SMARTRESNAKEuropean Commission 869884- RECLAIM
6 · The paper itself

Abstract

The versatility of piezoelectric sensors in measurement techniques and their performance in applications has given rise to an increased interest in their use for structural and manufacturing component monitoring. They enable wireless and sensor network solutions to be developed in order to directly integrate the sensors into machines, fixtures and tools. Piezoelectric sensors increasingly compete with strain-gauges due to their wide operational temperature range, load and strain sensing accuracy, low power consumption and low cost. This research sets out the use of piezoelectric sensors for real-time monitoring of mechanical strength in metallic structures in the ongoing operational control of machinery components. The behaviour of aluminium and steel structures under flexural strength was studied using piezoelectric sensors. Variations in structural behaviour and geometry were measured, and the load and μstrains during operational conditions were quantified in the time domain at a specific frequency. The lead zirconium titanate (PZT) sensors were able to distinguish between material types and thicknesses. Moreover, this work covers frequency selection and optimisation from 20 Hz to 300 kHz. Significant differences in terms of optimal operating frequencies and sensitivity were found in both structures. The influence of the PZT voltage applied was assessed to reduce power consumption without signal loss, and calibration to μstrains and loads was performed.

Indexed as

electromechanical impedanceload monitoringlow poweroptimal frequencypiezoelectric smart sensorreal-timesensingsmart manufacturingsmart structuresμstrains

Identifiers

PMID32156027
PMCPMC7085522

What OpenQuestion holds

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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.