Research papers describing original work on theories, methodologies, abstractions, algorithms, industry applications and case studies are invited. IEEE CATCON 2024 will not consider abstracts but will consider full papers within the scope of the conference for review. THE TOPICS INCLUDE BUT ARE NOT LIMITED TO:

Condition Monitoring of Solid, Liquid, Gas, and Composite Insulation in Electrical Equipment using Time-Domain and Frequency-Domain Techniques, Dielectric Ageing Mechanisms and their assessment, Nano-Dielectrics, Noise and Vibro-Acoustic Monitoring, Optical Monitoring, Flow, Pressure, Temperature Monitoring, On-line and Real-time Condition Monitoring, Thermography, Modeling and Simulations for Condition Monitoring, Condition Monitoring of Electrical Machines including insulation and allied Instrumentation System.

AI-Powered Condition Monitoring, Machine Learning for Fault Detection, Real-time Anomaly Detection, Deep Learning for Equipment Health Assessment, Ensemble Methods for Power System Diagnostics, Pattern Recognition for Fault Classification and Grid Monitoring, Data Mining in Transmission and Distribution Networks, Image Processing for Substation Assessment, Energy-Efficient Computing for Grids, Ubiquitous Computing in Power System Monitoring, Distributed Computing in Substation Health, Adaptive Computing for Grid Condition Assessment.

Strategic Planning and Asset Management, Complex Interconnected and Interdependent Systems of Systems (SoS), Gas Insulated Systems (GIS), DC Insulation Systems, Issues related to Smart Grid and Industry Applications, Monitoring Systems and Measuring Devices for High Voltage Power Apparatus, Transmission Lines and Power Generating Units, Power Quality Monitoring and Assessment, Monitoring and Operation of Micro-grids, Condition Assessment of Power System Components employing Power Electronics and Drives, Monitoring of Power System Components involving Renewable Energy Sources, Damage and Failure Analysis, Fault and Cyber Threat Tolerant Power System, Stability, Operation, Planning, Prognostics, and Condition Assessment related to Phasor Monitoring Unit, SCADA, FACTS, TCSC, Active Power Filters, Energy Conversion. Condition Monitoring of LV, MV, HV and UHV Cables and Accessories including AC and DC Cable Systems.

Condition Monitoring of Bioengineering and Biomedical Systems, Advanced Signal Processing for Power System Monitoring, Data- Driven Analytics for Condition Assessment, Integrated Sensor Fusion Methods, Power System Condition Monitoring using Intelligent Diagnostics, Multi-Sensory Approach to System Monitoring, Optimal Asset Management Strategies, Quantitative Risk Assessment in Power Networks, Cyber-Physical Integration for Condition Assessment, Reliability Engineering in Integrated Power Systems.