000 04442naaaa2201141uu 4500
001 https://directory.doabooks.org/handle/20.500.12854/77160
005 20220219224629.0
020 _abooks978-3-0365-2678-2
020 _a9783036526799
020 _a9783036526782
024 7 _a10.3390/books978-3-0365-2678-2
_cdoi
041 0 _aEnglish
042 _adc
072 7 _aTB
_2bicssc
100 1 _aBoczar, Tomasz
_4edt
700 1 _aKunicki, Michał
_4edt
700 1 _aWotzka, Daria
_4edt
700 1 _aNagi, Łukasz
_4edt
700 1 _aKozioł, Michał
_4edt
700 1 _aBoczar, Tomasz
_4oth
700 1 _aKunicki, Michał
_4oth
700 1 _aWotzka, Daria
_4oth
700 1 _aNagi, Łukasz
_4oth
700 1 _aKozioł, Michał
_4oth
245 1 0 _aAdvances in Sensors and Sensing for Technical Condition Assessment and NDT
260 _aBasel, Switzerland
_bMDPI - Multidisciplinary Digital Publishing Institute
_c2021
300 _a1 electronic resource (216 p.)
506 0 _aOpen Access
_2star
_fUnrestricted online access
520 _aThe adequate assessment of key apparatus conditions is a hot topic in all branches of industry. Various online and offline diagnostic methods are widely applied to provide early detections of any abnormality in exploitation. Furthermore, different sensors may also be applied to capture selected physical quantities that may be used to indicate the type of potential fault. The essential steps of the signal analysis regarding the technical condition assessment process may be listed as: signal measurement (using relevant sensors), processing, modelling, and classification. In the Special Issue entitled “Advances in Sensors and Sensing for Technical Condition Assessment and NDT”, we present the latest research in various areas of technology.
540 _aCreative Commons
_fhttps://creativecommons.org/licenses/by/4.0/
_2cc
_4https://creativecommons.org/licenses/by/4.0/
546 _aEnglish
650 7 _aTechnology: general issues
_2bicssc
653 _apulse compression
653 _ascattering
653 _aattenuation
653 _ainsulation
653 _aultrasonic testing
653 _aOLTC
653 _aAE sensor
653 _aacoustic emission
653 _afeature extraction
653 _asupervised classification
653 _amachine learning
653 _acontrast-enhanced ultrasound
653 _amuscle perfusion
653 _aNakagami parameter
653 _acompounding Nakagami imaging
653 _alow-frequency sensor
653 _apower transformer
653 _alow-frequency noise
653 _agenetic algorithm
653 _ageometric layout of railway track
653 _atrack axis identification
653 _atramway loop
653 _aroute’s polygon
653 _aGNSS mobile measurements
653 _avibroarthography
653 _aVAG
653 _aknee joint
653 _aspectral features
653 _afrequency analysis
653 _anon-invasive examination
653 _alateral temperature gradient
653 _atemperature field
653 _aboundary conditions
653 _asolar radiation intensity
653 _atemperature monitoring
653 _anon-destructive evaluation
653 _aeddy current
653 _a3D sensing
653 _ainverse problem
653 _awavelet transform
653 _aprincipal component analysis
653 _aneural network
653 _aincubation
653 _aspectrum
653 _aimage processing
653 _aROC curve
653 _ainfrasound measurement system
653 _awind turbine
653 _ainfrasound correlation analysis
653 _ameasuring scale
653 _athermoelastic deformation
653 _acoefficient of thermal expansion
653 _aelastic waves
653 _alaser ultrasound
653 _aFizeau fiber interferometer
653 _adefect identification
653 _ahigh-current pulses
653 _acurrent measurement
653 _ahigh-current shunts
653 _acircuit modeling
653 _aRogowski coil
653 _aelectrodynamic accelerators
653 _an/a
856 4 0 _awww.oapen.org
_uhttps://mdpi.com/books/pdfview/book/4778
_70
_zDOAB: download the publication
856 4 0 _awww.oapen.org
_uhttps://directory.doabooks.org/handle/20.500.12854/77160
_70
_zDOAB: description of the publication
999 _c48885
_d48885