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.
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 Transformer2. Application of AIML to DGA Based CM-FDD3. Application of AIML to Dielectric Strength Based CM-FDD4. Application of AIML to Metal Particle Count Based CM-FDD5. Application of AIML to Moisture Analysis Based CM-FDD6. Application of AIML to Power-Factor/Dissipation Factor Based CM-FDD7. Application of AIML to Interfacial Tension Based CM-FDD8. Application of AIML to Acid Number Based CM-FDD9. Application of AIML to Furans Based CM-FDD10. Application of AIML to Oxygen Inhibitor Based CM-FDD
PART B: Data Analytics for Condition Monitoring and FDD of Power Transformer Windings11. AIML Based Detailed Review on Introduction to Windings of Power Transformer12. Application of AIML to SFRA Based CM-FDD13. Application of AIML to Doble-Tests Based CM-FDD14. 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 Transformer16. Application of AIML to Doble-Test Based CM-FDD of BAA17. Application of AIML to Dielectric Loss Based CM-FDD of BAA18. Application of AIML to Power Factor Based CM-FDD of BAA19. Application of AIML to Infrared Camera Based CM-FDD of BAA20. Application of AIML to Oil-level CM-FDD of Bushing
PART D: Data Analytics for Condition Monitoring and FDD of Power Transformer Core21. AIML Based Detailed Review on Introduction to Core of Power Transformer22. Application of AIML to Insulation Resistance Based CM-FDD23. Application of AIML to Ground Test Based CM-FDD
PART E: Data Analytics for Condition Monitoring and FDD of Power Transformer Conservator24. AIML Based Detailed Review on Introduction to Conservator of Power Transformer25. Application of AIML to Oil-leaks /leaks in Diaphragm Based CM-FDD26. 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 Auxiliaries27. AIML Based Detailed Review on Introduction to Tanks and Auxiliaries of Power Transformer28. Application of AIML to Fault Pressure Relay Based CM-FDD29. Application of AIML to Pressure Relief Devices Based CM-FDD30. Application of AIML to Buchholz Relay Based CM-FDD31. Application of AIML to Top-oil/winding/infrared Temperature Indicators Based CM-FDD32. Application of AIML to Fault/Sound/Vibration Analyzers Based CM-FDD
PART G: Data Analytics for Condition Monitoring and FDD of Power Transformer Cooling System33. AIML Based Detailed Review on Introduction to Cooling System of Power Transformer34. Application of AIML to Cleaning Procedure of fan/blades/radiators35. Application of AIML to Fans and Controls CM-FDD36. Application of AIML to Oil Pump CM-FDD37. Application of AIML to Pump Bearings CM-FDD38. Application of AIML to Radiator CM-FDD
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