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

Herausgeber: Malik, Hasmat; Jarial, Raj Kumar; Fatema, Nuzhat

• Broschiertes Buch

Produktbeschreibung

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.

Produktdetails

• Verlag: Elsevier Health Sciences
• Seitenzahl: 276
• Erscheinungstermin: 1. November 2024
• Englisch
• ISBN-13: 9780323917797
• ISBN-10: 0323917798
• Artikelnr.: 64698957

Inhaltsangabe

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