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International Congress and Workshop on Industrial AI 2021 de Ramin Karim

International Congress and Workshop on Industrial AI 2021: Lecture Notes in Mechanical Engineering

Editat de Ramin Karim, Alireza Ahmadi, Iman Soleimanmeigouni, Ravdeep Kour, Raj Rao
en Limba Engleză Paperback – 7 feb 2022
This proceedings of the International Congress and Workshop on Industrial AI 2021 encompasses and integrates the themes and topics of three conferences, eMaintenance, Condition Monitoring and Diagnostic Engineering management (COMADEM), and Advances in Reliability, Maintainability and Supportability (ARMS) into a single resource. 

The 21st century is witnessing the emerging extensive applications of Artificial Intelligence (AI) and Information Technologies (IT) in industry. Industrial Artificial Intelligence (IAI) integrates IT with Operational Technologies (OT) and Engineering Technologies (ET) to achieve operational excellence through enhanced analytics in operation and maintenance of industrial assets. 

This volume provides insight into opportunities and challenges caused by the implementation of AI in industries apart from future developments with special reference to operation and maintenance of industrial assets. Industry practitioners in the maintenance field as well as academics seeking applied research in maintenance will find this text useful.
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Specificații

ISBN-13: 9783030936389
ISBN-10: 3030936384
Pagini: 446
Ilustrații: XII, 446 p. 227 illus., 173 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.64 kg
Ediția:1st ed. 2022
Editura: Springer International Publishing
Colecția Springer
Seria Lecture Notes in Mechanical Engineering

Locul publicării:Cham, Switzerland

Cuprins

Condition Monitoring of Hyradulic Cylinder Seals Using Acoustic Emissions.- Online Condition Monitoring of Engines by a Deep Analysis of the Electrical Conductivity and Relative Permittivity Changes of the Lubricant.- A Kalman Filter Based Time Series ARX Model  for Force Identification.- Playing an Electromagnetic Pinball Machine by an AI Trained with Reinforcement Learning.- The Research of Civil Aero-Engine Remaining Useful Life Estimation Based on Gaussian Process.- Observed and Un-Observed Risk Factors Effect on Reliability Performance – A Case Study.- Spare Part Management Considering Risk Factors.- Using High-Frequency Vibration Signals for Gear Wear Assessment in Lieu of Acoustic Emission Signals.- Monitoring Gear Wear with Transmission Error.- Designing of a Framework for the Implementation of RCM Using SWOT Analysis.- Similarity Life Prediction Based on FPCA and Multi-Source Information Fusion.- Remaining Useful Life Prediction Techniques Based on Convolutional Autocoderand Long Short Time Memory Network.- Condition Based Maintenance of HVAC on a High-Speed Train for Fault Detection.- Free-Text Data Analysis on Breakdown Reports using Natural Language Processing and Machine Learning.- Why EMD and Similar Decompositions Should not be Used for Bearing Diagnostics.- Data-Driven Railway Maintenance Planning Based on Predictive Modelling of Track Geometry Degradation.- Cost and Revenue Streams Estimation for Novel Open Data Based Electric Vehicle Service and Maintenance Ecosystem Driven Platform Solution.- An ICT System for Gravel Road Maintenance – Information and Functionality Requirements.- Towards Intelligent Data Analytics in Industry 4.0: A Case Study in Power Transfer Unit.- Data Driven Optimal Design of Reverse Logistics Network for Used Lithium-ion Batteries in Sweden.- Framework for Extracting and Structuring Raw Data to Strengthen Proactive Decision Making in Maintenance.- Autonomous Anomaly Detection and Handling of Spatiotemporal Railway Data.- Organization Resilience Estimation: Application of Expert Judgment.- Maintenance Crew Scheduling in a Train Operating Company.- The Performance and Operating Environment Based Importance Measure.- Industrial Equipment's Throughput Capacity Analysis.- The Resilience Alteration by Risk Factors in Industrial Equipment.- Analysis of Systematic Influences on the Insulation Resistance of Electronic Railway Interlockings.- Early Fault Detection Based on Wind Turbine SCADA Data Using CNNs.- Hybrid Fault Diagnosis Algorithm of Nuclear Power Plants Based on Improved PCA and SVM.- AI Based Inspection of Commercial Aircrafts by UAS.- Research on Fault Diagnosis Technology of Nuclear Power Plant Based on KNN-SDG Method.- Comprehensive Monitoring of Large Industrial Systems and Fault Data Recovery.- Research on Fault Diagnostic Technology of Nuclear Power Plants Based on Random Forest Algorithm.- Evaluation of Contact-Type Failure Using Frequency Fluctuation Caused by Nonlinear Wave Modulation Utilizing Self-Excited Ultrasonic Vibration.- Learning-Based Diagnosis of Multiple Faults in Rotating Machinery.- Evaluation of Convolutional Neural Networks and Transfer Learning for Bearing Corrosion Inspection.- Condition-Based Maintenance Optimization Based On Matrix Algebra.- Performance Evaluation of Wind Turbine Based on Cointegration.- The Application Prospects and Problems of Prognostics and Health Management Technology in Nuclear Power Plants.- Metadata Inference on Building Sensor Data.- Optimised Hybrid Model for Rolling Stock Propulsion Subsystem Decommissioning and Refurbishment.- Combining Spectral Coherence with Informative Frequency Band Features for Condition Monitoring Under Time-Varying Operating Conditions.- Vibration Measurements and Modal Analysis on a Turntable.- Blockchain Technology for Information Sharing and Coordination to Mitigate the Bullwhip Effect in Service Supply Chain.- Data Driven Maintenance - a Promising Way of Action for Future Industrial ServicesManagement.- Realization and Performance Evaluation of a Vibration Monitoring Module by Multiple MEMS Accelerometer Integrations.- Rail View, Sky View and Maintenance Go –  Digitalisation within Railway Maintenance.- Reality Lab Digital Railway – Digitalisation for Sustainable Development.- Hierarchical Bayesian Model for Maintenance Planning of Railway Track.- A Procedure for Dynamic Adjustment of Safety Parameters for Communication Channel with Required SIL at Run Time.- A Novel Method to Improve The Accuracy and Capability of Blade Vibration Parameter Identification During a Fast Run-Up Process.- Design of Active Balancing Device for Turbo Generator Set.- Multi-Dimensional Movement Measurement of Rotating Blade Based on Blade Tip Timing.- Operational Security in the Railway- The Challenge.- Design For Vibration-based Fault Diagnosis Model, Integrating AI and IIoT.- Statistical Representation of Railway Track Irregularities Using Wavelets.- Blockchain Application in Enhancing Railway Cybersecurity.- Use of Artificial Intelligence in Mining: An Indian Overview.- Symbolic Representation of Knowledge for the Development of Industrial Fault Detection Systems.- Fault Diagnosis of Reciprocating Compressor Based on Stacked Auto-encoder and Back-Propagation.- A Novel Intelligent Compound Fault Diagnosis Method for Piston Engine Valves Using Improved Deep Convolutional Neural Network.- Multiunit Fusion Learning in the Application of Gearbox Fault Intelligent Classification Under Uncertain Speed Condition.- Health Assessment of Hydraulic Pump Based on Empirical Mode Decomposition and Random Forest.- Maintenance 4.0: A State of the Art Approach for Analysis of Condition Monitoring (CM) Data and Decision Making.- Deep Learning for Computer Vision in Railway Applications.- Intelligent Diagnosis of Planetary Gear Fault Based on Continuous Vibration Separation and Convolutional Neural Networks.- Fault Simulation of Gearbox Based on Digital Twin Technology.- Application of Artificial Neural Network for Rail Fastener Detection from Differential Eddy Current Measurement.- Application of Machine Learning in Prognosis of Track Geometry Irregularities.- Modelling Track Geometry Degradation Using Survival Analysis: A Case Study.- Development of Cassava Peeling Machine and Optimisation of its Mechanical Parameters.- Determination of Some Physical and Mechanical Properties of Fluted Pumpkin Essential to Design of Processing and Handling Machine and Equipments.- Fault Diagnosis Capability of Shallow vs Deep Neural Networks for Small Modular Reactor.- Reliability Based Design of Automated Fault Diagnosis Algorithms for Nuclear Power Plants.- Smart Online Monitoring of Industrial Pipeline Defects.- Hybrid Model Development for HVAC System in Passenger Trains for Condition Monitoring.- Condition Monitoring System for an Extruder Line.- SVM Based Vibration Analysis for Effective Classification of Machine Conditions.- A Survey on Machine Learning Application in Root Cause Analysis of Faults and Accidents in Railway Infrastructure.- A Model Based Iteration Method for the Oil Film Dynamic Coefficients Identification of Journal Bearings.- Investigation of Lubrication Effects on Wheel Dynamic Behaviours via Experiments on a Twin Disc Test Rig.- On-Rotor Sensing Based Planetary Geabox Fault Detection and Diagnosis.- Validation Framework of Bayesian Networks in Asset Management Decision-Making.- White Noise Assisted Approach for Life Prediction of Deep Groove Ball Bearing Using Ensemble Empirical Mode Decomposition.

Textul de pe ultima copertă

This proceedings of the International Congress and Workshop on Industrial AI 2021 encompasses and integrates the themes and topics of three conferences, eMaintenance, Condition Monitoring and Diagnostic Engineering management (COMADEM), and Advances in Reliability, Maintainability and Supportability (ARMS) into a single resource. 

The 21st century is witnessing the emerging extensive applications of Artificial Intelligence (AI) and Information Technologies (IT) in industry. Industrial Artificial Intelligence (IAI) integrates IT with Operational Technologies (OT) and Engineering Technologies (ET) to achieve operational excellence through enhanced analytics in operation and maintenance of industrial assets. 

This volume provides insight into opportunities and challenges caused by the implementation of AI in industries apart from future developments with special reference to operation and maintenance of industrial assets. Industry practitioners in the maintenance field as well as academics seeking applied research in maintenance will find this text useful.

Caracteristici

Presents the latest research in AI and how it can be applied to various industries Provides insight into the challenges and opportunities presented by the implementation of AI in industries Unites expert knowledge across disciplines to promote the maintenance revolution