Intelligent Data Analytics for Power Apparatus Health Monitoring

Intelligent Data Analytics for Power Apparatus Health Monitoring

AI and Machine Learning Paradigms

Fatema, Nuzhat; Malik, Hasmat; Jarial, Raj Kumar; Iqbal, Atif

Elsevier Science & Technology

02/2029

276

Mole

Inglês

9780323917797

Pré-lançamento - envio 15 a 20 dias após a sua edição

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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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Condition monitoring; Fault detection; Power Transformers; Dissolved gas analysis (DGA); Furan analysis; SFRA; Machine learning; Artificial intelligence; Gene expression programming; Extreme learning machine; Deep neural network; Fuzzy reinforcement learning; Proximal support vector machine