Info
- Utilizzare la checkbox di selezione a fianco di ciascun documento per attivare le funzionalità di stampa, invio email, download nei formati disponibili del (i) record.
Proceedings of the UNIfied Conference of DAMAS, IncoME and TEPEN Conferences (UNIfied 2023) : Volume 2
| Proceedings of the UNIfied Conference of DAMAS, IncoME and TEPEN Conferences (UNIfied 2023) : Volume 2 |
| Autore | Ball Andrew D |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing AG, , 2024 |
| Descrizione fisica | 1 online resource (1186 pages) |
| Disciplina | 670.42 |
| Altri autori (Persone) |
OuyangHuajiang
SinhaJyoti K WangZuolu |
| Collana | Mechanisms and Machine Science Series |
| ISBN | 3-031-49421-0 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Contents -- Weld Surface Defect Detection Based on Improved YOLOv7 -- 1 Background -- 2 Literature Review -- 3 Methodology -- 3.1 Image Acquisition -- 3.2 Data Augmentation -- 3.3 Improvement of YOLOv7 Target Detection Model -- 4 Experiments and Results Analysis -- 4.1 Experimental Platform -- 4.2 Data Set Preparation -- 4.3 Algorithm Comparison and Evaluating Indicator -- 4.4 Experimental Results and Analysis -- 5 Conclusion -- References -- High-Frequency Electrically-Assisted Turning: Application to Aluminium -- 1 Introduction -- 2 Experimental Procedure -- 2.1 Experimental Setup and Material -- 2.2 Experimental Parameters -- 2.3 Measurement of Cutting Force and Surface Roughness -- 3 Results and Discussion -- 3.1 Cutting Force -- 3.2 Surface Roughness -- 4 Conclusions -- References -- An Investigation into Noise Source Separation and Blind Identification Method for Electric Drive System Based on Single-Channel Noise Sources -- 1 Introduction -- 2 Noise Source Separation and Blind Identification Method -- 2.1 CEEMDAN -- 2.2 ICEEMDAN -- 2.3 Comparation Between CEEMDAN and ICEEMDAN -- 2.4 Independent Component Analysis for Blind Identification -- 3 Experimental Test Setup -- 4 Results -- 4.1 Data Selection and Pre-processing -- 4.2 Noise Signal Decomposition -- 4.3 Independent Noise Source Identification -- 5 Conclusion -- References -- Pose-DWT-Former: An Improved Transformer-Based 3D Human Pose Estimation Model -- 1 Introduction -- 2 Related Work -- 3 Framework and Modules -- 3.1 Vision Transformer (ViT) Module -- 3.2 Architecture -- 4 Experiments -- 4.1 Dataset and Implement -- 4.2 Evaluation Measures -- 4.3 Model Training -- 4.4 Visualization -- 5 Conclusions -- References -- Dynamic Behaviour of Railway Axle Box Bearing Raceway Excited by Wheel Polygonal Wear -- 1 Introduction.
2 Rigid-Flexible Coupled Vehicle-Track Dynamics Model with Axle Box Bearing -- 2.1 Vehicle-Track Coupled Dynamics Model -- 2.2 Flexible Wheelset, Axle Box and Gear Box Models -- 2.3 Axle Box Bearing Dynamics Model -- 2.4 Wheel Polygonal Model -- 3 Model Validation -- 4 Dynamic Behaviour of Axle Box Bearing Raceway -- 4.1 Dynamic Behaviour of Axle Box Bearing Raceway Excited by Wheel Polygonal Wear Amplitude -- 4.2 Dynamic Behaviour of Axle Box Bearing Raceway Excited by Wheel Polygonal Wear Order -- 5 Conclusions -- References -- Research of the Possibility of Operating a NPP Turbine Without a Stage of Damaged Blades -- 1 Introduction -- 2 Object and Methodology of the Research -- 2.1 Geometric Model of the High-Pressure Rotor of the K-1000-60/3000 Turbine -- 2.2 Mathematical Model for Synthesis of the Turbine Flow Part -- 2.3 Mathematical Model for Calculating the Residual Service Lifetime of Rotor -- 3 Efficiency and Service Lifetime of the K-1000-60/3000 Turbine Without 5th Stage Blades -- 3.1 Integral Quality Indicators of the Flow Part of the High-Pressure Cylinder -- 3.2 Residual Service Lifetime of the High-Pressure Rotor -- 4 Conclusions -- References -- A Comparative Analysis of Two Winding Distribution Approaches for Fault Simulations of Induction Motors -- 1 Introduction -- 2 Modelling the BRB Fault by MCC Method -- 3 Winding Distributions -- 4 Simulation Results -- 4.1 Healthy Motor -- 4.2 BRB Fault -- 5 Experimental Results -- 5.1 Healthy Motor -- 5.2 Motor with BRB Fault -- 6 Conclusions -- References -- Remaining Useful Life Prediction Based on Bayesian Inference Long and Short-Term Memory Networks -- 1 Introduction -- 2 Bayesian Inference-Based Long- and Short-Term Memory Networks -- 2.1 Bayes-LSTM Network Construction -- 2.2 Data Expansion -- 2.3 Bayesian Inference -- 2.4 Remaining Useful Life Prediction. 3 Experimental Results and Analysis -- 3.1 Experimental Results of PHM2012 Bearing Dataset -- 3.2 Experimental Results of PHM2012 Bearing Dataset -- 4 Conclusion -- References -- Early Fault Detection of Robotic Joints Based on Time-Frequency Analysis of Motor Current Signature -- 1 Introduction -- 2 Industrial Robot Structure -- 3 Motor Current Signature Analysis -- 3.1 Application of MCSA in Fault Diagnosis -- 3.2 Fourier Synchro Squeezed Transform -- 3.3 Modulation Signal Bispectrum -- 4 Experimental Facility and Procedure -- 4.1 Experimental Facility -- 4.2 Experimental Procedure -- 5 Data Analysis and Result Discussion -- 5.1 Time Domain and Frequency Domain Analysis -- 5.2 Time-Frequency Analysis -- 6 Conclusion -- References -- Asymmetricity Diagnosis in Wind Turbine-Based Permanent Magnet Synchronous Generators -- 1 Introduction -- 2 Modeling for Asymmetricity in PMSG -- 2.1 Wind Turbine Dynamics -- 2.2 Dynamic Model of PMSG -- 2.3 Asymmetricity Modeling -- 3 Experimental Setup and Test Result -- 3.1 Eccentricity at Different Speed -- 4 Results and Discussion -- 5 Conclusion -- References -- Sensitivity of PCA and Autoencoder-Based Anomaly Detection for Industrial Collaborative Robots -- 1 Introduction -- 2 Fault Detection with PCA and Autoencoder -- 2.1 PCA -- 2.2 Sparse Autoencoder -- 3 Experimental Setup -- 3.1 Description of the Test Stand and Dataset -- 3.2 Dataset Pre-processing -- 4 Detection Results -- 4.1 PCA Model Detection Results -- 4.2 Sparse Autoencoder Model Detection Results -- 5 Conclusion -- References -- Rolling Bearing Fault Diagnosis Method Based on Wavelet Time-Frequency Map and Improved ConvNext -- 1 Introduction -- 2 Methodology -- 2.1 Continuous Wavelet Transform -- 2.2 ConvNext Network Model -- 3 Fault Diagnosis Framework for Rolling Bearings -- 3.1 CBAM -- 3.2 ECA -- 4 Experimental Verification -- 5 Conclusion. References -- Siamese Neural Network-Based Diagnosis of UAVs Faults Under Small Sample Conditions -- 1 Introduction -- 2 Method -- 3 Experiment -- 3.1 Experimental Data and Experimental Setup -- 3.2 Experimental Results and Visual Analysis -- 4 Conclusion -- References -- Design of a Button Sensor Antenna for Wireless Wearable Applications -- 1 Introduction -- 2 Design Topology -- 3 Results and Discussion -- 3.1 Free Space -- 3.2 On Body -- 3.3 SAR -- 4 Conclusion -- References -- Research on Vibration Displacement Measurement of Sleeper Based on Machine Vision -- 1 Introduction -- 2 Research on Testing Method of Vibration Displacement of Sleeper -- 3 Research on the Algorithm of Sleeper Vibration Displacement Detection -- 4 Image Feature Point Extraction -- 5 Experimental Verification and Conclusion -- 6 Conclusion -- References -- Establishment and Testing Verification of Traction Battery Second-Order Resistor-Capacitor Digital Twin Model Based on Hybrid Pulse Power Characterization Test -- 1 Introduction -- 2 Lithium-Ion Battery Digital Twin Model -- 2.1 Lithium-Ion Battery Structure and Working Principle -- 2.2 Battery Equivalent Circuit Model -- 2.3 Mathematical Model Construction -- 2.4 Simulink-Based Simulation Model Building -- 2.5 Matlab-Based Parameter Identification -- 3 SOC Estimation Algorithm -- 4 Battery Characteristics Test Method Based on the Test Stand -- 5 Analysis of Digital Twin Model Validation Results -- 5.1 Analysis of 1# Cell Model Validation Results -- 5.2 Analysis of 2# Cell Model Validation Results -- 5.3 Analysis of Validation Results of #3 Cell Model -- 5.4 Analysis of 4# Cell Model Validation Results -- 5.5 Analysis of 5# Cell Model Validation Results -- 5.6 Analysis of 6# Cell Model Validation Results -- 5.7 Analysis of 7# Cell Model Validation Results -- 5.8 Analysis of 8# Cell Model Validation Results -- 6 Conclusion. References -- Effects of Tooth Directional Modification Error on Internal Excitation and Vibration Characteristics of Gears with Early-Stage Crack Fault -- 1 Introduction -- 2 Parameter Definition of TDM Error -- 3 Proposed Internal Excitation Analytical Model of Gear with ESC and TDM -- 4 Results and Discussion -- 4.1 Verification of the Proposed Model -- 4.2 Effects of TDM Errors on the Internal Excitation of Gear with ESC -- 4.3 Effects of TDM Errors on the Vibration Characteristics of ESC Fault -- 5 Conclusions -- References -- Kinematics Analysis and Verification of Delta Parallel Robot -- 1 Introduction -- 2 Kinematics Analysis of Delta Parallel Robot -- 2.1 Delta Parallel Robot Structure Analysis and Modeling -- 2.2 Model Simplification and Workspace -- 2.3 Kinematic Inverse and Positive Solutions -- 3 Delta Kinematics Simulation of Parallel Robots -- 3.1 Positive and Inverse Solution Verification of Kinematics -- 3.2 Simulation of the Workspace -- 4 Conclusion -- References -- A Data-Driven Modelling Approach and Uncertainty Analysis for Rotor System Health Assessment -- 1 Introduction -- 2 Model Uncertainty and Condition Assessment Accuracy Based on NARX -- 3 Dynamic Modelling of Rotor System with Rub-Impact -- 4 Condition Monitoring Based on Model Uncertainty Analysis -- 4.1 Sensitivity and Correlation of NOFRFs Under Parameter Perturbation -- 4.2 Effect of Parameter Uncertainty on NOFRFs in Condition Assessment -- 5 Conclusions -- References -- Characterising the Mechanism of Cell Failure Due to Shear Using a Combined Numerical and Analytical Approach -- 1 Introduction -- 2 Methodology -- 2.1 Three Component Cell Model (3CCM) -- 2.2 Boundary Conditions -- 2.3 Comparison with Predictions from Hertzian Theory -- 2.4 Six Component Cell Model (6CCM) -- 3 Results and Discussion -- 3.1 Three Component Cell Model (3CCM) Results. 3.2 Six Component Cell Model (6CCM) Results. |
| Record Nr. | UNINA-9910865287303321 |
Ball Andrew D
|
||
| Cham : , : Springer International Publishing AG, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Proceedings of the UNIfied Conference of DAMAS, IncoME and TEPEN Conferences (UNIfied 2023) : Volume 1
| Proceedings of the UNIfied Conference of DAMAS, IncoME and TEPEN Conferences (UNIfied 2023) : Volume 1 |
| Autore | Ball Andrew D |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing AG, , 2024 |
| Descrizione fisica | 1 online resource (1219 pages) |
| Disciplina | 670.42 |
| Altri autori (Persone) |
OuyangHuajiang
SinhaJyoti K WangZuolu |
| Collana | Mechanisms and Machine Science Series |
| ISBN | 3-031-49413-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Contents -- A Remaining Useful Life Prediction Technique for Rolling Element Bearings Based on Deep Temporal Feature Transfer -- 1 Introduction -- 2 Background Theories -- 2.1 A Review of the ON-LSTM Network -- 2.2 Transfer Learning -- 2.3 The Proposed Method -- 3 Experimental Verification and Result Discussion -- 3.1 Dataset Description -- 3.2 Results and Discussion -- 4 Conclusion -- References -- A Miniaturized Acoustic Metamaterial for Weak Signal Detection -- 1 Introduction -- 2 MGAM-Based Acoustic Sensing -- 3 Numerical Simulation -- 4 Experimental Verification -- 4.1 Signal Separation with Feature Enhancement -- 4.2 Weak Signal Detection Under Strong Noise Interference -- 5 Conclusion -- References -- A Machine Learning Approach for Reliable Object Tracking -- 1 Introduction -- 2 Methodology -- 2.1 Particle Filter -- 2.2 Proposed Methodology -- 3 Experiments and Results -- 3.1 Dataset Generation -- 3.2 Experiments -- 4 Conclusion and Future Directions -- References -- Numerical Analysis of Low Energy High Frequency Laser Shock Processing of Polycrystalline Diamond -- 1 Introduction -- 2 3D Prediction Modelling of Laser Shock Processing on PCD Composites -- 2.1 Model Design -- 2.2 Constitutive Material's Behavior -- 2.3 Simulation of Unconventional LSP Without Coating on PCD Composites -- 3 Results and Discussion -- 3.1 Temperature Analysis -- 3.2 Residual Stress -- 4 Conclusions -- References -- Tribology and Characterization of Dynamically-Loaded Crankshaft Main Bearings with Surface Roughness -- 1 Introduction -- 2 Theory -- 2.1 Rigid Rotor Dynamic Equation -- 2.2 Transient Hydrodynamic Model -- 2.3 Simulation Procedure -- 3 Simulation Results and Discussion -- 3.1 Engine Dynamic Load Analysis -- 3.2 Tribology and Dynamic Responses -- 4 Conclusion -- References.
Virtual Sensor Implementation in Hydroelectric Turbines: A Digital Twin Approach for Clearance Violation Analysis -- 1 Introduction -- 2 Methodology -- 2.1 General Description -- 2.2 FEM Model -- 2.3 Equations -- 2.4 Procedure for Dynamic Excitation -- 3 Application on a 92 MW Hydroelectric Generator -- 3.1 Model Characteristics -- 3.2 Event: Unit 2 Generator Trip -- 3.3 Event Description and DT Results -- 4 Conclusions -- References -- Energy Harvesting Enhancement by Vibration Mode Coupling of Piezoelectric Cantilever Beam -- 1 Introduction -- 2 Configuration and Vibration Modes of Energy Harvester -- 3 Experimental Study with Split Piezoelectric Plate -- 3.1 Experimental Setup -- 3.2 Analysis of Experiment Result -- 4 Experimental Study with Mode Assignment -- 4.1 Structure with Distributive Mass -- 4.2 Analysis of Experiment Result -- 5 Conclusion -- References -- A Degradation Trend Dynamic Prediction Method for Rolling Bearing Health Status Evaluation -- 1 Introduction -- 2 Health Index Construction Based on Kernel Mahalanobis Distance -- 2.1 Health Status Assessment -- 2.2 Sensitive Feature Screening -- 2.3 Kernel Mahalanobis Distance-Based Health Index -- 3 Bearing Degradation Trend Dynamic Prediction -- 3.1 Identification of First Predicting Point Based on SVDD -- 3.2 Determination of Dynamic Failure Threshold Based on FPLR -- 4 Performance Verification -- 5 Conclusions -- References -- Extension of Harmonic Product Spectrum and Its Application in Bearing Condition Monitoring -- 1 Introduction -- 2 Extension of Harmonic Product Spectrum -- 3 Evaluation of Different Harmonic Product Spectra -- 3.1 Numerical Model of Simulation Signal -- 3.2 Effect of Harmonic Noise -- 3.3 Effect of Random Impulse Noise -- 3.4 Effect of Background Noise -- 3.5 Quantitative Analysis -- 4 Application to Bearing Condition Monitoring -- 5 Conclusions -- References. Metamaterial Structural Design for Low-Frequency Vibration Attenuation in a Drone-Based Image Monitoring System -- 1 Introduction -- 2 Metamaterial Structural Design and Numerical Analysis -- 2.1 Structural Design -- 2.2 Unit-Cell Bandgap Characteristics -- 2.3 Vibration Transmission -- 3 Experimental Verification -- 4 Conclusion -- References -- Thermal Safety Analysis of Lithium-Ion Traction Batteries Based on Electrode Thermal Stability -- 1 Introduction -- 2 Experimental Section -- 3 Results and Discussion -- 4 Conclusions -- References -- Life Cycle Management of Hospital Physical Assets Waste Elimination -- 1 Introduction -- 2 Holistic Model for Diagnosis -- 2.1 Diagnosis Model -- 2.2 The Questionnaires -- 2.3 Analysis of Data -- 2.4 Elimination Criteria -- 2.5 Eliminatory Grid -- 2.6 Improvement Plan -- 3 Indicators (KPIs) -- 3.1 Availability (A) -- 3.2 Mean Time Between Failure (MTBF) -- 3.3 Mean Time to Repair (MTTR) -- 3.4 Mean Waiting Time (MWT) -- 3.5 Return on Investment (ROI) -- 4 New Economic Replacement Models -- 4.1 Financial Indicators -- 4.2 Performance Indicators -- 4.3 Reserve Equipment -- 4.4 Integrated Asset Management Support Model-MIAGA -- 5 TPS-Waste Elimination -- 5.1 TPS-Fundamental Pillars -- 5.2 Waste -- 5.3 Methodology 5S -- 5.4 Layout of Organizations-Health Units -- 5.5 SMED Tool -- 6 Conclusions -- References -- Full-Field Out-of-Plane Displacement Measurement Using Microwave Holographic Interferometry -- 1 Introduction -- 2 Method -- 2.1 Principle of Microwave Holography -- 2.2 Method of Full-Filed Out-of-Plane Measurement -- 3 Method Evaluation -- 3.1 Simulation -- 3.2 Experiment -- 4 Conclusion -- References -- Multiscale Spectral-Spatial Capsule Neural Network for Hyperspectral Image Classification -- 1 Introduction -- 2 Proposed Multiscale Spectral-Spatial Capsule Network. 3 Experimental Results and Discussions -- 4 Conclusion -- References -- Detection of Small-Amplitude Hunting Motion in High-Speed Trains Under Extreme Data Imbalance -- 1 Introduction -- 2 CTtransVAE-GAN Construction -- 2.1 Encoding Network -- 2.2 Decoding Network -- 3 CTransVAE-GAN -- 4 Experimental Results and Discussion of Small-Amplitude Hunting Data -- 5 Conclusions -- References -- Simulation Analysis of Battery Pack Bottom Ball Strike Based on LS-DYNA -- 1 Introduction -- 2 Static Ball Strike -- 2.1 Ball Strike Test -- 2.2 Establishment of Battery Pack Simulation Model -- 2.3 Analysis of Static Ball Strike Simulation Results -- 3 Dynamic Ball Strike -- 3.1 Impact Velocity Impact Analysis -- 3.2 Impact Angle Impact Analysis -- 4 Conclusion -- References -- Updated Finite Element Model of Axial Piston Pump for Machine Learning-Based Failure Detection -- 1 Introduction -- 2 Experimental Setup -- 3 Finite Element Modeling and Validation -- 3.1 FE Model Validation -- 4 Finite Element Model Updating (FEMU) -- 4.1 Dynamic Finite Element Model Updating Techniques -- 4.2 Updated FE Model -- 5 Conclusions -- References -- Application of Machine Learning Algorithm for Fault Detection in Pump -- 1 Introduction -- 2 Methodology -- 2.1 Experimental Setup and Data Acquisition -- 2.2 Data Preparation, Preprocessing, and Visualization -- 2.3 Sliding Window Technique -- 2.4 Application of Deep Learning -- 3 Results and Discussion -- 4 Conclusion -- References -- Neural Network-Based Terminal Sliding Mode Controller Design for Manipulator Systems -- 1 Introduction -- 2 Mathematical Model of the Mechanical Arm -- 3 Control Design -- 3.1 Nonsingular Fast Terminal Sliding Mode Control -- 3.2 Radial Basis Function Neural Network (RBFNN) Control Design -- 4 Stability Analysis -- 5 Simulation Analysis -- 6 Conclusion -- References. Improved Fault Diagnosis Model Based on Bootstrap Your Own Latent Algorithm for a Multistage Centrifugal Pump -- 1 Introduction -- 2 Methodology -- 2.1 Overview of the Proposed Method -- 2.2 Signal Subsampling -- 2.3 Time-Series Augmentations -- 2.4 BYOL-Based Feature Extractor Training and Finetuning -- 3 Experiments and Implementation Details -- 3.1 Experiment Setup -- 3.2 Implementation Details -- 4 Results -- 4.1 Analysis of the Model Performance -- 4.2 Comparison with Supervised Model -- 5 Conclusion and Future Works -- References -- A Multi-task Learning Method for Few-Shot Fault Diagnosis Based on Metric Learning -- 1 Introduction -- 2 Basic Theory -- 2.1 Principles of Siamese Neural Networks -- 2.2 Loss Function -- 3 Fault Diagnosis Model -- 3.1 Overall Framework of the Model -- 3.2 Backbone Networks -- 4 Experimental Research and Result Analysis -- 4.1 Case 1 -- 4.2 Case 2 -- 5 Conclusion -- References -- Online Parameter Identification of Lithium Battery Model Based on Bias Compensated Least Square -- 1 Introduction -- 2 Introduction of Lithium Battery Model -- 3 Parameter Identification Based on BCFFRLS -- 3.1 Recursive Least Squares with Forgetting Factor -- 3.2 Forgetting Factor Recursive Least Squares Method with Bias Compensation -- 4 Battery Test -- 5 Model Parameter Identification and Result Analysis -- 6 Conclusions -- References -- A Review of Synchro-Transform Method in Mechanical Fault Diagnosis -- 1 Introduction -- 2 Variants of Synchro-Transform -- 2.1 Synchrosqueezed-Like Transform Method -- 2.2 Synchroextracting-Like Transform Method -- 2.3 Framework of Synchro-Transformation Method -- 3 The Application of Synchro-Transform Method in Mechanical Fault Diagnosis -- 3.1 Gear Fault Diagnosis -- 3.2 Bearing Fault Diagnosis -- 3.3 Comparison of Various Synchro-Transform Methods -- 4 Conclusion and Future Direction -- References. Assessment on the Static Characteristic of the Journal Bearing with Aerated Oil Film. |
| Record Nr. | UNINA-9910865269603321 |
|
Ball Andrew D
|
||
| Cham : , : Springer International Publishing AG, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||