Smart Electrical and Mechanical Systems
eBook - ePub

Smart Electrical and Mechanical Systems

An Application of Artificial Intelligence and Machine Learning

  1. 314 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Smart Electrical and Mechanical Systems

An Application of Artificial Intelligence and Machine Learning

About this book

Smart Electrical and Mechanical Systems: An Application of Artificial Intelligence and Machine Learning is an international contributed work with the most up-to-date fundamentals and conventional methods used in smart electrical and mechanical systems. Detailing methods and procedures for the application of ML and AI, it is supported with illustrations of the systems, process diagrams visuals of the systems and/or their components, and supportive data and results leading to the benefits and challenges of the relevant applications. The multidisciplinary theme of the book will help researchers build a synergy between electrical and mechanical engineering systems. The book guides readers on not only how to effectively solve problems but also provide high accuracy needed for successful implementation. Interdisciplinary in nature, the book caters to the needs of the electrical and mechanical engineering industry by offering details on the application of AI and ML in robotics, design and manufacturing, image processing, power system operation and forecasting with suitable examples. - Includes significant case studies related to application of Artificial Intelligence and Machine Learning in Energy and Power, Mechanical Design and Manufacturing - Contains supporting illustrations and tables, along with a valuable set of references at the end of each chapter - Provides original, state-of-the-art research material written by international and national respected contributors

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Yes, you can access Smart Electrical and Mechanical Systems by Rakesh Sehgal,Neeraj Gupta,Anuradha Tomar,Mukund Dutt Sharma,Vigna Kumaran in PDF and/or ePUB format, as well as other popular books in Technology & Engineering & Electrical Engineering & Telecommunications. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Smart Electrical and Mechanical Systems
  2. Chapter One Machine learning and its applications
  3. Chapter Two A Multiple Object Recognition Approach via DenseNet-161 Model
  4. Chapter Three Deep learning-based image processing for analyzing combustion behavior of gel fuel droplets
  5. Chapter Four Deep learning-based methods for detecting surface defects in steel plates
  6. Chapter Five Extremum center interpolation-based EMD approach for fault detection of reciprocating compressor
  7. Chapter Six Renewable energy sources forecasting and integration using machine learning
  8. Chapter Seven Role of big data analytic and machine learning in power system contingency analysis
  9. Chapter Eight Ensemble classifier-based protection scheme for hybrid microgrid
  10. Chapter Nine A linear discriminant analysis based protection scheme for DC microgrid under stressed scenarios
  11. Chapter Ten Machine learning application to power system forecasting
  12. Chapter Eleven Machine learning application to industrial control systems
  13. Chapter Twelve Data-driven based optimal power system operation and control in a weak grid
  14. Chapter Thirteen Short-term load forecasting in the presence of grid uncertainties using new methods based on deep learning
  15. Index