Batteries are vital for storing renewable energy for stationary and mobile applications. Managing batteries requires knowledge of parameters such as charge and power output. State estimation estimates such parameters using measurement and modelling; a process conveyed in this book through experimental results and verification.

Wind energy is a pillar of the emerging clean energy system. This volume, written by industry experts, is the complete reference on how to configure efficient wind turbine systems, focusing on the generator, converter, their control, automation and maintenance.

The Electric Vehicle Charging Equipment Installation - Code of Practice, 5th Edition, sets out the considerations and planning needed in advance of the installation of EV charging points as well as detailing the necessary physical and electrical requirements during the installation.

The new, thoroughly revised edition of this classic book on offshore wind farm reliability. This work captures the latest developments in turbine and farm design, monitoring, safety and maintenance of a centre pillar of the emerging carbon free energy system.

This book presents the main advanced signal processing techniques for fault detection and diagnosis in electromechanical systems. It focuses on presenting these advanced tools from time-frequency representation and time-scale analysis to demodulation techniques, including innovative and recently developed approaches.

The Electric Vehicle Charging Equipment Installation - Code of Practice, 5th Edition, sets out the considerations and planning needed in advance of the installation of EV charging points as well as detailing the necessary physical and electrical requirements during the installation.

The aim of this Code of Practice is to provide knowledge, understanding and good practice guidance on the design, evaluation, implementation and improvements on the use of automated controls used in mechanical and electrical engineering systems within the built environment.

This book comprehensively covers the recently-developed AI techniques for solving condition monitoring and fault detection issues in EV electrical conversion systems. Chapters systematically address condition monitoring and fault detection in EV motors and inverters, with illustrative case studies.