LEADER 05242nam 2200625 450 001 9910827817703321 005 20200520144314.0 010 $a1-62870-829-8 010 $a3-03826-270-6 035 $a(CKB)3710000000074209 035 $a(EBL)1910447 035 $a(SSID)ssj0001192793 035 $a(PQKBManifestationID)11704631 035 $a(PQKBTitleCode)TC0001192793 035 $a(PQKBWorkID)11246239 035 $a(PQKB)11390000 035 $a(MiAaPQ)EBC1910447 035 $a(Au-PeEL)EBL1910447 035 $a(CaPaEBR)ebr10803665 035 $a(OCoLC)899158847 035 $a(EXLCZ)993710000000074209 100 $a20111102h20142014 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aSmart diagnostics V $eselected, peer reviewed papers from the 5th International Congress of Technical Diagnostics, September 3-5, 2012, Krakow, Poland /$fedited by Tadeusz Uhl 210 1$aDurnten-Zurich, Switzerland :$cTrans Tech Publications,$d[2014] 210 4$dİ2014 215 $a1 online resource (374 p.) 225 0$aKey engineering materials ;$v588 300 $aDescription based upon print version of record. 311 $a3-03785-889-3 320 $aIncludes bibliographical references and index. 327 $aSmart Diagnostics V; Preface, ProgramCommittee and Acknowledgment; Table of Contents; Analysis of Possibility of Use Peltier Modules in Task of Energy Scavenging; Application of Artificial Neural Networks for Damage Indices Classification with the Use of Lamb Waves for the Aerospace Structures; Application of Vision Based Damage Detection for Real Civil Engineering Structure; Comparative Study of Instantaneous Frequency Extraction in Nonlinear Acoustics Used for Structural Damage Detection; Damage Detection in RAPTOR Telescope Systems Using Time-Frequency Analysis Methods 327 $aDamage Detection in Riveted Aircraft Elements Based on the Electromechanical Impedance MeasurementsDetermination of the Penetration Depth of Eddy Currents in Defectoscopic Tests; Development Environment for Diagnostic Multimodal Statement Networks; Development of the Strain Sensors Based on CNT/Epoxy Using Screen Printing; Diagnostics and Transversal Vibrations Control of Rotating Beam by Means of Campbell Diagrams; Diagnostics of the Mechatronic Rotating System 327 $aEmpirical Mode Decomposition of Vibration Signal for Detection of Local Disturbances in Planetary Gearbox Used in Heavy Machinery SystemEnergy Diagnosis of the Structure of the Demolition Hammer with WoSSo Vibroisolation of a Biomechanical System; Example of Diagnostic Inference Based on Uncertain and Partly Inconsistent Data with Application of the Approximate Statement Network; Identification of the Water-Cooled Fuel Injectors for Engines; Impact of Changing Temperature on Lamb Wave Propagation for Damage Detection 327 $aInfluence of the Indicator Channel and Indicator Valve on the Heat Release Characteristics of Medium Speed Marine Diesel EnginesLocal Interaction Simulation Approach vs. Finite Element Modelling for Fault Detection in Medical Ultrasonic Transducer; Machine Learning Applications for a Wind Turbine Blade under Continuous Fatigue Loading; Modeling the Effects of Underwater Detonation Wave; New Focus on Gearbox Condition Monitoring for Failure Prevention Technology; Nonlinear Acoustics in Non-Destructive Testing - From Theory to Experimental Application 327 $aObject-Relational Model of Experimental Studies of Impact of Climatic Conditions on the Work of a Bi-Fuel EngineOnline Fault Diagnosis of Automotive Powernets by Kalman Filtering; Parametric Time-Frequency Map and its Processing for Local Damage Detection in Rotating Machinery; Possibilities of Using Vibration Signals for the Identification of Pressure Level in Tires with Application of Neural Networks Classification; Power Plant Remaining Life Evaluation; Recent Research on Thermal Fatigue of Composite Elements of Transport Means 327 $aRemote Monitoring of Fatigue Cracks Growth in the Aircraft Structure Based on Active Piezosensor Network during the Full Scale Fatigue Test 330 $aThe aim of the special collection was to bring together the expertise of scientist and engineers from universities and industry in the field of Structural Health Monitoring, Non-Destructive Evaluation, and Condition Monitoring. The study of damage detection, localization and assessment are important in the rapidly growing field of SHM. Due to interdisciplinary character of SHM systems, the contributions come from experts from area of mechanics, materials engineering, electronics, software engineering, and signal processing as well as system users from civil engineering, aviation, power plants, 410 0$aKey Engineering Materials 606 $aMeasurement$vCongresses 606 $aReliability (Engineering)$vCongresses 615 0$aMeasurement 615 0$aReliability (Engineering) 701 $aUhl$b Tadeusz$01594734 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910827817703321 996 $aSmart diagnostics V$93915364 997 $aUNINA