000099744 001__ 99744
000099744 005__ 20230519145508.0
000099744 0247_ $$2doi$$a10.3390/s21030993
000099744 0248_ $$2sideral$$a123243
000099744 037__ $$aART-2021-123243
000099744 041__ $$aeng
000099744 100__ $$aCantero-Chinchilla, S.
000099744 245__ $$aStructural health monitoring using ultrasonic guided-waves and the degree of health index
000099744 260__ $$c2021
000099744 5060_ $$aAccess copy available to the general public$$fUnrestricted
000099744 5203_ $$aThis paper proposes a new damage index named degree of health (DoH) to efficiently tackle structural damage monitoring in real-time. As a key contribution, the proposed index relies on a pattern matching methodology that measures the time-of-flight mismatch of sequential ultrasonic guided-wave measurements using fuzzy logic fundamentals. The ultrasonic signals are generated using the transmission beamforming technique with a phased-array of piezoelectric transducers. The acquisition is carried out by two phased-arrays to compare the influence of pulse-echo and pitch-catch modes in the damage assessment. The proposed monitoring approach is illustrated in a fatigue test of an aluminum sheet with an initial notch. As an additional novelty, the proposed pattern matching methodology uses the data stemming from the transmission beamforming technique for structural health monitoring. The results demonstrate the efficiency and robustness of the proposed framework in providing a qualitative and quantitative assessment for fatigue crack damage.
000099744 536__ $$9info:eu-repo/grantAgreement/EC/H2020/721455/EU/European industrial doctorate for damage modelling and online detection in aerospace composite structures/SAFE-FLY$$9This project has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No H2020 721455-SAFE-FLY
000099744 540__ $$9info:eu-repo/semantics/openAccess$$aby$$uhttp://creativecommons.org/licenses/by/3.0/es/
000099744 590__ $$a3.847$$b2021
000099744 592__ $$a0.803$$b2021
000099744 594__ $$a6.4$$b2021
000099744 591__ $$aCHEMISTRY, ANALYTICAL$$b29 / 87 = 0.333$$c2021$$dQ2$$eT2
000099744 593__ $$aAnalytical Chemistry$$c2021$$dQ1
000099744 591__ $$aINSTRUMENTS & INSTRUMENTATION$$b19 / 64 = 0.297$$c2021$$dQ2$$eT1
000099744 593__ $$aBiochemistry$$c2021$$dQ1
000099744 591__ $$aENGINEERING, ELECTRICAL & ELECTRONIC$$b95 / 277 = 0.343$$c2021$$dQ2$$eT2
000099744 593__ $$aInstrumentation$$c2021$$dQ1
000099744 593__ $$aInformation Systems$$c2021$$dQ1
000099744 593__ $$aElectrical and Electronic Engineering$$c2021$$dQ1
000099744 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000099744 700__ $$aAranguren, G.
000099744 700__ $$aRoyo, J.M.
000099744 700__ $$aChiachío, M.
000099744 700__ $$aEtxaniz, J.
000099744 700__ $$0(orcid)0000-0002-7985-6412$$aCalvo-Echenique, A.
000099744 773__ $$g21, 3 (2021), 993 [17 pp]$$pSensors$$tSensors$$x1424-8220
000099744 8564_ $$s587274$$uhttps://zaguan.unizar.es/record/99744/files/texto_completo.pdf$$yVersión publicada
000099744 8564_ $$s2636582$$uhttps://zaguan.unizar.es/record/99744/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000099744 909CO $$ooai:zaguan.unizar.es:99744$$particulos$$pdriver
000099744 951__ $$a2023-05-18-15:08:13
000099744 980__ $$aARTICLE