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Energy
Multiphysics Simulation by Design for Electrical Machines, Power Electronics
and Drives
Marius Rosu, Ping Zhou, Dinsheng Lin, Dan Ionel, Mircea Popescu, Frede Blaabjerg, Vandana Rallabandi &
David Staton
Multiphysics Simulation by Design for Electrical Machines, Power Electronics and Drives discusses
fundamental aspects of the state of the art design process and includes examples from industrial practice. It
explains FEM-based analysis techniques for electrical machine design — providing details on how it can be
employed in ANSYS Maxwell software.
• Delivers the multi-physics know-how based on practical electric machine design methodologies
• Provides an extensive overview of electric machine design optimization and its integration with power
electronics and drives
• Incorporates case studies from industrial practice and research and development projects
Series: IEEE Press Series on Power Engineering
Print ISBN: 978-1-119-10344-8 • Cloth • €145.00 • Feb 2018 • 350PP
Mathematics & Statistics
Computational Acoustics
Theory and Implementation
David R. Bergman
Computational Acoustics: Theory and Implementation is a comprehensive pedagogical text that deals
primarily with the theory of linear acoustics in moving fluid media, computational methods for modelling
sound propagation and techniques in both theory and implementation related to acoustics. This book
bridges the gap between theory and implementation therefore providing one-stop coverage. Over the past
30 years there have been a large number of innovative techniques in acoustic modelling that have appeared
in the literature. Many of these techniques are covered in a comprehensive manner, illustrating their use in
acoustic modelling and simulation. Readers will be able to use this text as a learning tool for what’s out
there and as a reference throughout their career. The most recent advances in acoustic modelling involve
Boundary Element Methods (BEM), a version of the Method of Moments (MoM) applied to electromagnetic
scattering problems and will be covered in this reference.
Series: Wiley Series in Acoustics Noise and Vibration
Print ISBN: 978-1-119-27728-6 • Cloth • €129.00 • Feb 2018 • 750PP
Network Meta-Analysis for Decision Making
Sofia Dias, A. E. Ades, Nicky J. Welton, Jeroen P. Jansen & Alexander J. Sutton
• Presents a generalised linear model (GLM) framework for the synthesis of data from Randomised
Controlled Trials (RCTs)
• Takes a Bayesian approach to estimation along with WinBUGS program code for a Bayesian analysis
using Markov chain Monte Carlo (MCMC) simulation
• Gives suggestions on computational issues that can arise in MCMC evidence synthesis.
• Explores the various options in the interpretation of random effects and the implications for outlier
detection, design of new studies, and decision making
• Discusses network synthesis methods compatible with The National Institute for Health and Clinical
Excellence (NICE) guidelines
• Describes a common model taking the form of a linear regression for both fixed and random effects
synthesis that can be implemented with Normal, Binomial, Poisson, and Multinomial data
• Provides an extensive appendix provides code to run a series of worked examples
Series: Statistics in Practice
Print ISBN: 978-1-118-64750-9 • Cloth • €71.90 • Feb 2018 • 384PP