LEADER 01121cam0-22003731i-450- 001 990007868440403321 005 20100413092038.0 010 $a88-317-7708-4 035 $a000786844 035 $aFED01000786844 035 $a(Aleph)000786844FED01 035 $a000786844 100 $a20040416d2001----km-y0itay50------ba 101 0 $aita 102 $aIT 105 $aa-------001yy 200 1 $a<>storia in televisione$estorici e registi a confronto$fa cura di Luisa Cigognetti, Lorenza Servetti, Pierre Sorlin 210 $aBologna$cIstituto regionale Ferruccio Parri$aVenezia$cMarsilio$d2001 215 $a101 p.$cill.$d22 cm 225 1 $aRicerche 610 0 $aStoria$aDocumentazione televisiva 676 $a791.45$v21$zita 702 1$aCigognetti,$bLuisa 702 1$aServetti,$bLorenza 702 1$aSorlin,$bPierre 801 0$aIT$bUNINA$gRICA$2UNIMARC 901 $aBK 912 $a990007868440403321 952 $a791.45 CIG 1$bBibl.48682$fFLFBC 952 $aXIV C 147$b44043$fFSPBC 959 $aFLFBC 959 $aFSPBC 996 $aStoria in televisione$9673257 997 $aUNINA LEADER 01149nam0 22003011i 450 001 UON00058717 005 20231205102257.728 100 $a20020107d1947 |0itac50 ba 101 $aeng 102 $aGB 105 $a|||| 1|||| 200 1 $aˆA ‰short history of Chinese Civilisation$fTsui Chi$gwith a preface by L. Binyon 210 $aLondon$cVictor Gollancz Ltd.$d1947 215 $a335 p.$d23 cm 606 $aCINA$xStoria$3UONC001682$2FI 620 $aGB$dLondon$3UONL003044 686 $aCIN IV$cCINA - STORIA$2A 700 0$aZUI Ji$3UONV037572$0654472 702 1$aBINYON$bLawrence$3UONV007440 712 $aVictor Gollancz Ltd$3UONV254651$4650 790 0$aTSUI Chi$zZUI Ji$3UONV037573 801 $aIT$bSOL$c20240220$gRICA 899 $aSIBA - SISTEMA BIBLIOTECARIO DI ATENEO$2UONSI 912 $aUON00058717 950 $aSIBA - SISTEMA BIBLIOTECARIO DI ATENEO$dSI CIN IV 043 $eSI MR 33085 5 043 966 $aSHANGHAI (CINA) - STORIA$yCINA - Storia$3UONC007998 996 $aShort history of Chinese Civilisation$91168566 997 $aUNIOR LEADER 04305nam 22007695 450 001 9910726288503321 005 20230520050036.0 010 $a9783031317194$b(electronic bk.) 010 $z9783031317187 024 7 $a10.1007/978-3-031-31719-4 035 $a(MiAaPQ)EBC30546727 035 $a(Au-PeEL)EBL30546727 035 $a(OCoLC)1380015030 035 $a(DE-He213)978-3-031-31719-4 035 $a(BIP)090182467 035 $a(PPN)270615563 035 $a(CKB)26736405300041 035 $a(EXLCZ)9926736405300041 100 $a20230520d2023 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aAdvances in Technical Diagnostics II $eProceedings of the 7th International Congress on Technical Diagnostics, ICTD 2022, 14?16 September 2022, Radom, Poland /$fedited by Andrzej Puchalski, Bogus?aw Edward ?azarz, Fakher Chaari, Iwona Komorska, Radoslaw Zimroz 205 $a1st ed. 2023. 210 1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2023. 215 $a1 online resource (242 pages) 225 1 $aApplied Condition Monitoring,$x2363-6998 ;$v21 311 08$aPrint version: Puchalski, Andrzej Advances in Technical Diagnostics II Cham : Springer,c2023 9783031317187 327 $aShip diesel engine fault diagnosis using data science and machine learning -- Laser spot thermography for defect detection in composite structure -- Monitoring the technical condition of the marine turbine engines by analysis of rundown resonance parameter -- Theoretical-experimental determination of CVT power losses due to rubber V-belt vibrations -- Dynamic model for simulation of phenomena occurring in a planetary gear operating in a power transmission system -- Acoustic emission monitoring for wire drawing process -- Cycloidal gearbox model for transient analysis implemented in Fortran with constant time step 2nd order integrator -- Experimental setup for nondestructive testing of composite structures using laser spot thermography -- Neural network-based road surface condition monitor concept -- Method of fault detection of drive systems using features of Park's vector hodograph. 330 $aThis book reports on recent theories and methods for diagnostics and condition monitoring of machines, materials and industrial processes, with a special emphasis on the application of artificial intelligence and intelligent control systems. Gathering original contributions to the 7th International Congress on Technical Diagnostics, ICTD2022, held on September 14?16, 2022, in Radom, Poland, this book offers extensive information on the latest trends in machine diagnostics and on IoT, smart sensors and machine learning technology in advanced condition monitoring. It addresses both scientists and professionals and is intended to foster communication and collaborations between the two groups. 410 0$aApplied Condition Monitoring,$x2363-6998 ;$v21 606 $aCooperating objects (Computer systems) 606 $aMachinery 606 $aMultibody systems 606 $aVibration 606 $aMechanics, Applied 606 $aMaterials?Fatigue 606 $aCyber-Physical Systems 606 $aMachinery and Machine Elements 606 $aMultibody Systems and Mechanical Vibrations 606 $aMaterials Fatigue 610 $aMechanical Engineering 610 $aTechnology & Engineering 615 0$aCooperating objects (Computer systems) 615 0$aMachinery. 615 0$aMultibody systems. 615 0$aVibration. 615 0$aMechanics, Applied. 615 0$aMaterials?Fatigue. 615 14$aCyber-Physical Systems. 615 24$aMachinery and Machine Elements. 615 24$aMultibody Systems and Mechanical Vibrations. 615 24$aMaterials Fatigue. 676 $a621.38 700 $aPuchalski$b Andrzej$01359392 701 $a?azarz$b Bogus?aw Edward$01359393 701 $aChaari$b Fakher$01076964 701 $aKomorska$b Iwona$01359394 701 $aZimroz$b Radoslaw$01078766 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 912 $a9910726288503321 996 $aAdvances in Technical Diagnostics II$93373808 997 $aUNINA