International Congress and Workshop on Industrial AI 2021

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 Autocoder and 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 Services

• Format: Paperback
• Language: English
• ISBN: 3030936384
• ISBN13: 9783030936389
• Release Date: February 2022
• Publisher: Springer
• Length: 446 Pages
• Weight: 1.41 lbs.
• Dimensions: 0.9" x 6.1" x 9.2"