A NEW PREDICTION MODEL FOR TRANSFORMER WINDING HOTSPOT TEMPERATURE FLUCTUATION BASED ON FUZZY INFORMATION GRANULATION AND AN OPTIMIZED WAVELET NEURAL NETWORK

A New Prediction Model for Transformer Winding Hotspot Temperature Fluctuation Based on Fuzzy Information Granulation and an Optimized Wavelet Neural Network

Winding hotspot temperature is the key factor affecting the load capacity and service life of transformers.For the early detection of transformer winding hotspot temperature anomalies, a ARTHRI-PLUS SPRAY new prediction model for the hotspot temperature fluctuation range based on fuzzy information granulation (FIG) and the chaotic particle swarm op

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Tisch Library Journal Salon

Effective communication across departments in academic libraries can be challenging, but the literature discussing this issue and potential solutions is sparse.In an attempt to address these issues, we implemented a library-wide Journal Planter Salon at our institution not only to facilitate learning and knowledge sharing, but also to create the op

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A Review on Cybersecurity Analysis, Attack Detection, and Attack Defense Methods in Cyber-physical Power Systems

Potential malicious cyber-attacks to power systems which are connected to a wide range of stakeholders from the top to tail will impose significant societal risks and challenges.The timely detection and defense are of crucial importance for safe and reliable operation of cyber-physical power systems (CPPSs).This paper presents a comprehensive revie

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