Intelligent Data Analytics for Power Apparatus Health Monitoring: AI and Machine Learning Paradigms

Intelligent Data Analytics for Power Apparatus Health Monitoring: AI and Machine Learning Paradigms reviews key implementations of machine learning and data analytics techniques for the optimization of digital power transformers. The work addresses health monitoring fully across the constitutive structure of modern transformers, with coverage of DGA-based intelligent data analytics, transformer winding, bushing and arrestor health monitoring, core, conservator, and tank and cooling systems. Chapters address advanced AI/ML methods including deep convolutional neural network, fuzzy reinforcement learning, modified fuzzy Q learning, gene expression programming, extreme-learning machine, and much more. Primarily intended for researchers and practitioners, the book speeds and simplifies the diagnosis and resolution of health and condition monitoring queries using advanced techniques, particularly with the goal of improved performance, reduced cost, optimized customer behavior and satisfaction, and ultimately increased profitability. Discusses pathways to apply machine learning techniques and advanced artificial intelligence algorithms in transformer diagnostics Provides demonstrator codes in R, WEKA and MATLAB, supporting direct implementation of intelligent data analytics for each power transformer component Demonstrates realistic methods for the step-by-step implementation of advanced AI/ML health monitoring, including convolutional neural network, deep learning and extreme learning machine approaches INDICE: Introduction to intelligent data analytics for power apparatus health monitoring PART A: Data Analytics for Condition Monitoring and FDD of Power Transformer Using Insulating Oil 1. Artificial intelligent & Machine learning (AIML) Based Detailed Review on Introduction to Insulating-Oil of Power Transformer 2. Application of AIML to DGA Based CM-FDD 3. Application of AIML to Dielectric Strength Based CM-FDD 4. Application of AIML to Metal Particle Count Based CM-FDD 5. Application of AIML to Moisture Analysis Based CM-FDD 6. Application of AIML to Power-Factor/Dissipation Factor Based CM-FDD 7. Application of AIML to Interfacial Tension Based CM-FDD 8. Application of AIML to Acid Number Based CM-FDD 9. Application of AIML to Furans Based CM-FDD 10. Application of AIML to Oxygen Inhibitor Based CM-FDD PART B: Data Analytics for Condition Monitoring and FDD of Power Transformer Windings 11. AIML Based Detailed Review on Introduction to Windings of Power Transformer 12. Application of AIML to SFRA Based CM-FDD 13. Application of AIML to Doble-Tests Based CM-FDD 14. Application of AIML to DC-Resistance, Turn-Ration Percent-Impedance/ Leakage-Reactance Based CM-FDD PART C: Data Analytics for Condition Monitoring and FDD of Power Transformer Bushing and Arresters (BAA) 15. AIML Based Detailed Review on Introduction to Bushing and Arresters of Power Transformer 16. Application of AIML to Doble-Test Based CM-FDD of BAA 17. Application of AIML to Dielectric Loss Based CM-FDD of BAA 18. Application of AIML to Power Factor Based CM-FDD of BAA 19. Application of AIML to Infrared Camera Based CM-FDD of BAA 20. Application of AIML to Oil-level CM-FDD of Bushing PART D: Data Analytics for Condition Monitoring and FDD of Power Transformer Core 21. AIML Based Detailed Review on Introduction to Core of Power Transformer 22. Application of AIML to Insulation Resistance Based CM-FDD 23. Application of AIML to Ground Test Based CM-FDD PART E: Data Analytics for Condition Monitoring and FDD of Power Transformer Conservator 24. AIML Based Detailed Review on Introduction to Conservator of Power Transformer 25. Application of AIML to Oil-leaks /leaks in Diaphragm Based CM-FDD 26. Application of AIML to Inter Air System/ Level Gauge Based CM-FDD PART F: Data Analytics for Condition Monitoring and FDD of Power Transformer Tank and Auxiliaries 27. AIML Based Detailed Review on Introduction to Tanks and Auxiliaries of Power Transformer 28. Application of AIML to Fault Pressure Relay Based CM-FDD 29. Application of AIML to Pressure Relief Devices Based CM-FDD 30. Application of AIML to Buchholz Relay Based CM-FDD 31. Application of AIML to Top-oil/winding/infrared Temperature Indicators Based CM-FDD 32. Application of AIML to Fault/Sound/Vibration Analyzers Based CM-FDD PART G: Data Analytics for Condition Monitoring and FDD of Power Transformer Cooling System 33. AIML Based Detailed Review on Introduction to Cooling System of Power Transformer 34. Application of AIML to Cleaning Procedure of fan/blades/radiators 35. Application of AIML to Fans and Controls CM-FDD 36. Application of AIML to Oil Pump CM-FDD 37. Application of AIML to Pump Bearings CM-FDD 38. Application of AIML to Radiator CM-FDD

• ISBN: 978-0-323-91779-7
• Editorial: Academic Press
• Encuadernacion: Rústica
• Fecha Publicación: 01/03/2023
• Nº Volúmenes: 1
• Idioma: Inglés