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010   $a981-10-8348-7
024 7 $a10.1007/978-981-10-8348-8
035   $a(CKB)4100000004836536
035   $a(MiAaPQ)EBC5435273
035   $a(DE-He213)978-981-10-8348-8
035   $a(PPN)229492088
035   $a(EXLCZ)994100000004836536
100   $a20180623d2018      u|         0
101 0 $aeng
135   $aurcnu||||||||
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aRail Crack Monitoring Using Acoustic Emission Technique /$fby Dan Li
205   $a1st ed. 2018.
210  1$aSingapore :$cSpringer Singapore :$cImprint: Springer,$d2018.
215   $a1 online resource (157 pages)
225 1 $aSpringer Theses, Recognizing Outstanding Ph.D. Research,$x2190-5053
311   $a981-10-8347-9 
327   $aIntroduction -- Literature review -- Propagation features and source location -- Sizing of fatigue cracks -- Field monitoring of rail cracks -- Conclusions and future work.
330   $aThis thesis provides an innovative strategy for rail crack monitoring using the acoustic emission (AE) technique. The field study presented is a significant improvement on laboratory studies in the literature in terms of complex rail profile and crack conditions as well as high operational noise. AE waves induced by crack propagation, crack closure, wheel-rail impact and operational noise were obtained through a series of laboratory and field tests, and analyzed by wavelet transform (WT) and synchrosqueezed wavelet transform (SWT). A wavelet power-based index and the enhanced SWT scalogram were sequentially proposed to classify AE waves induced by different mechanisms according to their energy distributions in the time?frequency domain. A novel crack sizing method taking advantage of crack closure-induced AE waves was developed based on fatigue tests in the laboratory. The propagation characteristics of AE waves in the rail were investigated, and Tsallis synchrosqueezed wavelet entropy (TSWE) with time was finally brought forward to detect and locate rail cracks in the field. The proposed strategy for detection, location and sizing of rail cracks helps to ensure the safe and smooth operation of the railway system. This thesis is of interest to graduate students, researchers and practitioners in the area of structural health monitoring.
410  0$aSpringer Theses, Recognizing Outstanding Ph.D. Research,$x2190-5053
606   $aAcoustical engineering
606   $aMaterials science
606   $aAcoustics
606   $aEngineering Acoustics$3https://scigraph.springernature.com/ontologies/product-market-codes/T16000
606   $aCharacterization and Evaluation of Materials$3https://scigraph.springernature.com/ontologies/product-market-codes/Z17000
606   $aAcoustics$3https://scigraph.springernature.com/ontologies/product-market-codes/P21069
615  0$aAcoustical engineering.
615  0$aMaterials science.
615  0$aAcoustics.
615 14$aEngineering Acoustics.
615 24$aCharacterization and Evaluation of Materials.
615 24$aAcoustics.
676   $a363.122810979436
700   $aLi$b Dan$4aut$4http://id.loc.gov/vocabulary/relators/aut$01062654
906   $aBOOK
912   $a9910299921803321
996   $aRail Crack Monitoring Using Acoustic Emission Technique$92527406
997   $aUNINA