Matches in SemOpenAlex for { <https://semopenalex.org/work/W4310153764> ?p ?o ?g. }
- W4310153764 endingPage "9206" @default.
- W4310153764 startingPage "9206" @default.
- W4310153764 abstract "Structural health monitoring (SHM) is vital to ensuring the integrity of people and structures during earthquakes, especially considering the catastrophic consequences that could be registered in countries within the Pacific ring of fire, such as Ecuador. This work reviews the technologies, architectures, data processing techniques, damage identification techniques, and challenges in state-of-the-art results with SHM system applications. These studies use several data processing techniques such as the wavelet transform, the fast Fourier transform, the Kalman filter, and different technologies such as the Internet of Things (IoT) and machine learning. The results of this review highlight the effectiveness of systems aiming to be cost-effective and wireless, where sensors based on microelectromechanical systems (MEMS) are standard. However, despite the advancement of technology, these face challenges such as optimization of energy resources, computational resources, and complying with the characteristic of real-time processing." @default.
- W4310153764 created "2022-11-30" @default.
- W4310153764 creator A5001571567 @default.
- W4310153764 creator A5024867923 @default.
- W4310153764 creator A5044775287 @default.
- W4310153764 creator A5053926743 @default.
- W4310153764 creator A5080746918 @default.
- W4310153764 date "2022-11-26" @default.
- W4310153764 modified "2023-10-18" @default.
- W4310153764 title "A Systematic Review of Structural Health Monitoring Systems to Strengthen Post-Earthquake Assessment Procedures" @default.
- W4310153764 cites W1509909020 @default.
- W4310153764 cites W1517373336 @default.
- W4310153764 cites W1536462784 @default.
- W4310153764 cites W1546339502 @default.
- W4310153764 cites W1634689282 @default.
- W4310153764 cites W2035912441 @default.
- W4310153764 cites W2037682837 @default.
- W4310153764 cites W2039151047 @default.
- W4310153764 cites W2054245314 @default.
- W4310153764 cites W2082019188 @default.
- W4310153764 cites W2082179468 @default.
- W4310153764 cites W2093303368 @default.
- W4310153764 cites W2094700141 @default.
- W4310153764 cites W2153268027 @default.
- W4310153764 cites W2171655636 @default.
- W4310153764 cites W2212903276 @default.
- W4310153764 cites W2324487451 @default.
- W4310153764 cites W2465422950 @default.
- W4310153764 cites W2478899349 @default.
- W4310153764 cites W2491471302 @default.
- W4310153764 cites W2552999262 @default.
- W4310153764 cites W2607285498 @default.
- W4310153764 cites W2791965385 @default.
- W4310153764 cites W2791986920 @default.
- W4310153764 cites W2794788728 @default.
- W4310153764 cites W2797941886 @default.
- W4310153764 cites W2800985459 @default.
- W4310153764 cites W2802093118 @default.
- W4310153764 cites W2829124299 @default.
- W4310153764 cites W2891546934 @default.
- W4310153764 cites W2903292887 @default.
- W4310153764 cites W2937690195 @default.
- W4310153764 cites W2976474645 @default.
- W4310153764 cites W2987887241 @default.
- W4310153764 cites W2999568585 @default.
- W4310153764 cites W3008693332 @default.
- W4310153764 cites W3016123475 @default.
- W4310153764 cites W3022448931 @default.
- W4310153764 cites W3045530378 @default.
- W4310153764 cites W3045893463 @default.
- W4310153764 cites W3048997535 @default.
- W4310153764 cites W3095604930 @default.
- W4310153764 cites W3112986887 @default.
- W4310153764 cites W3128504688 @default.
- W4310153764 cites W3135734062 @default.
- W4310153764 cites W3165188719 @default.
- W4310153764 cites W3165798395 @default.
- W4310153764 cites W3166490739 @default.
- W4310153764 cites W3170161251 @default.
- W4310153764 cites W3171587486 @default.
- W4310153764 cites W3175039757 @default.
- W4310153764 cites W3176075071 @default.
- W4310153764 cites W3176806517 @default.
- W4310153764 cites W3181276081 @default.
- W4310153764 cites W3191493958 @default.
- W4310153764 cites W3192496255 @default.
- W4310153764 cites W3198525145 @default.
- W4310153764 cites W3201478670 @default.
- W4310153764 cites W3207550576 @default.
- W4310153764 cites W3208547876 @default.
- W4310153764 cites W3211243819 @default.
- W4310153764 cites W3212417153 @default.
- W4310153764 cites W3213871204 @default.
- W4310153764 cites W3214976387 @default.
- W4310153764 cites W4200101091 @default.
- W4310153764 cites W4200262821 @default.
- W4310153764 cites W4200412678 @default.
- W4310153764 cites W4206052926 @default.
- W4310153764 cites W4206385156 @default.
- W4310153764 cites W4220777225 @default.
- W4310153764 cites W4254488551 @default.
- W4310153764 cites W4313118056 @default.
- W4310153764 doi "https://doi.org/10.3390/s22239206" @default.
- W4310153764 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/36501906" @default.
- W4310153764 hasPublicationYear "2022" @default.
- W4310153764 type Work @default.
- W4310153764 citedByCount "3" @default.
- W4310153764 countsByYear W43101537642023 @default.
- W4310153764 crossrefType "journal-article" @default.
- W4310153764 hasAuthorship W4310153764A5001571567 @default.
- W4310153764 hasAuthorship W4310153764A5024867923 @default.
- W4310153764 hasAuthorship W4310153764A5044775287 @default.
- W4310153764 hasAuthorship W4310153764A5053926743 @default.
- W4310153764 hasAuthorship W4310153764A5080746918 @default.
- W4310153764 hasBestOaLocation W43101537641 @default.
- W4310153764 hasConcept C111919701 @default.
- W4310153764 hasConcept C112930515 @default.
- W4310153764 hasConcept C116834253 @default.