LEADER 04306nam 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