https://shop.theiet.org:443/editors/mohamed-benbouzidMohamed Benbouzidhttps://shop.theiet.org:443/design-control-and-monitoring-of-tidal-stream-turbine-systems<p xmlns="http://ns.editeur.org/onix/3.0/reference">The worldwide potential of electric power from tidal currents is potentially between 100 and 120 GW. The technology uses the ebb and flow currents off coasts to drive submerged turbines. The high load factor and the predictable resource characteristics make tidal energy an attractive, reliable power source. The technology is advancing rapidly towards maturity; several projects have now reached a relatively mature stage and are close to completion, but challenges remain. Topics for ongoing research include hydrodynamics and turbine design, as well as the power conversion interface (including the electric generator), control, and monitoring and maintenance challenges.</p> <p xmlns="http://ns.editeur.org/onix/3.0/reference"><i>Design, Control and Monitoring of Tidal Stream Turbine Systems</i> presents an overview of tidal energy research. Chapters cover tidal stream turbine generators and drivetrain design options, turbine control, fault-tolerant control, monitoring and fault diagnosis, and biofouling issues in tidal stream turbines. The book is intended to enable readers to contribute to designing tidal power systems.</p> <p xmlns="http://ns.editeur.org/onix/3.0/reference">Written by experts in the field, this book is aimed at researchers and engineers involved with tidal stream energy, in academia and industry, as well as advanced students with an interest in the topic.</p>Mon, 03 Apr 2023 09:13:42 GMThttps://shop.theiet.org:443/design-control-and-monitoring-of-tidal-stream-turbine-systemshttps://shop.theiet.org:443/signal-processing-for-fault-detection-and-diagnosis-in-electric-machines-and-systems<p xmlns="http://ns.editeur.org/onix/3.0/reference">Over the last three decades, the search for competitiveness and growth gains has driven the evolution of machine maintenance policies, and the industry has moved from passive maintenance to active maintenance with the aim of improving productivity. Active maintenance requires continuous monitoring of industrial systems in order to increase reliability, availability rates and guarantee the safety of people and property.</p> <p xmlns="http://ns.editeur.org/onix/3.0/reference">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 options. Each technique is evaluated and compared, and its advantages and drawbacks highlighted. Parametric spectral analysis, which aims to handle some of the main drawbacks of these approaches, is introduced as a potential solution.</p> <p xmlns="http://ns.editeur.org/onix/3.0/reference"><i>Signal Processing for Fault Detection and Diagnosis in Electric Machines and Systems</i> offers thorough, analytical coverage of the following topics: parametric signal processing approach; the signal demodulation techniques; Kullback-Leibler divergence for incipient fault diagnosis; high-order spectra (HOS); and fault detection and diagnosis based on principal component analysis. Finally, a brief conclusion suggests some possibilities for the future direction of the field.</p> <p xmlns="http://ns.editeur.org/onix/3.0/reference">The book is a useful resource for researchers and engineers whose work involves electrical machines or fault detection specifically, and also of value to postgraduate students with an interest in entering this field.</p>Wed, 09 Sep 2020 12:53:23 GMThttps://shop.theiet.org:443/signal-processing-for-fault-detection-and-diagnosis-in-electric-machines-and-systems