Cover image for Smart Diagnostics V.
Smart Diagnostics V.
Title:
Smart Diagnostics V.
Author:
Uhl, Tadeusz.
ISBN:
9783038262701
Personal Author:
Edition:
1st ed.
Physical Description:
1 online resource (374 pages)
Series:
Key Engineering Materials ; v.588

Key Engineering Materials
Contents:
Smart 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 -- Damage Detection in Riveted Aircraft Elements Based on the Electromechanical Impedance Measurements -- Determination 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 -- Empirical Mode Decomposition of Vibration Signal for Detection of Local Disturbances in Planetary Gearbox Used in Heavy Machinery System -- Energy 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 -- Influence of the Indicator Channel and Indicator Valve on the Heat Release Characteristics of Medium Speed Marine Diesel Engines -- Local 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 -- Object-Relational Model of Experimental Studies of Impact of Climatic Conditions on the Work of a Bi-Fuel Engine -- Online 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 -- Remote Monitoring of Fatigue Cracks Growth in the Aircraft Structure Based on Active Piezosensor Network during the Full Scale Fatigue Test -- Simulation and Analysis of Vibration of Rolling Bearing -- Simulation and Laboratory Studies on the Influence of Selected Engineering and Operational Parameters on Gear Transmission Vibroactivity -- The Ideal Final Result and Contradiction Matrix for Machine Condition Monitoring with TRIZ -- The Method for Identification of Damping Coefficient of the Trucks Suspension -- The Rise and Fall of CBM (Condition Based Maintenance) -- Theoretical and Experimental Investigations of Oil-Free Bearings and their Application in Diagnostics of High-Speed Turbomachinery -- Triple Correlation Technique for Damage Detection in Composite Materials -- Uncertainty Analysis in Structural Dynamics -- Use of Neural Networks in Diagnostics of Rolling-Element Bearing of the Induction Motor -- Wavelet-Based Variance Analysis for Condition Monitoring of Gears.

Wireless Passive RFID-Based Sensor for Crack Detection - Second Stage of Investigations -- Keywords Index -- Authors Index.
Abstract:
The 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, wind turbines, chemical plants, petrochemical plants and railways sectors. A significant part is dedicated to utilization of advanced measurement techniques, signal processing, and computation methods.Scientists and engineers from academia, government, and business explore diagnostics in structural health monitoring, non-destructing evaluation, condition monitoring, and other applications. The 40 papers include discussions of such topics as detecting damage in riveted aircraft elements based on electromechanical impedance measurements, an example of diagnostic inference based on uncertain and partly inconsistent data with application of the approximate statement network, the local interaction simulation approach versus finite element modeling for detecting faults in a medical ultrasonic transducer, simulation and laboratory studies on the influence of selected engineering and operational parameters of gear transmission vibroactivity, and theoretical and experimental investigations of oil-free bearings and their application in the diagnostics of high-speed turbomachinery.
Local Note:
Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2017. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries.
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