Data Driven Science and Engineering

This book PDF is perfect for those who love Computers genre, written by Steven L. Brunton and published by Cambridge University Press which was released on 05 May 2022 with total hardcover pages 615. You could read this book directly on your devices with pdf, epub and kindle format, check detail and related Data Driven Science and Engineering books below.

Data Driven Science and Engineering
Author : Steven L. Brunton
File Size : 44,5 Mb
Publisher : Cambridge University Press
Language : English
Release Date : 05 May 2022
ISBN : 9781009098489
Pages : 615 pages
Get Book

Data Driven Science and Engineering by Steven L. Brunton Book PDF Summary

A textbook covering data-science and machine learning methods for modelling and control in engineering and science, with Python and MATLABĀ®.

Data Driven Science and Engineering

A textbook covering data-science and machine learning methods for modelling and control in engineering and science, with Python and MATLABĀ®.

Get Book
Data Driven Modeling   Scientific Computation

Combining scientific computing methods and algorithms with modern data analysis techniques, including basic applications of compressive sensing and machine learning, this book develops techniques that allow for the integration of the dynamics of complex systems and big data. MATLAB is used throughout for mathematical solution strategies.

Get Book
Data Driven Technology for Engineering Systems Health Management

This book introduces condition-based maintenance (CBM)/data-driven prognostics and health management (PHM) in detail, first explaining the PHM design approach from a systems engineering perspective, then summarizing and elaborating on the data-driven methodology for feature construction, as well as feature-based fault diagnosis and prognosis. The book includes a wealth of

Get Book
Data Driven Engineering Design

This book addresses the emerging paradigm of data-driven engineering design. In the big-data era, data is becoming a strategic asset for global manufacturers. This book shows how the power of data can be leveraged to drive the engineering design process, in particular, the early-stage design. Based on novel combinations of

Get Book
Machine Learning Control     Taming Nonlinear Dynamics and Turbulence

This is the first textbook on a generally applicable control strategy for turbulence and other complex nonlinear systems. The approach of the book employs powerful methods of machine learning for optimal nonlinear control laws. This machine learning control (MLC) is motivated and detailed in Chapters 1 and 2. In Chapter 3, methods of

Get Book
Dynamic Mode Decomposition

Data-driven dynamical systems is a burgeoning field?it connects how measurements of nonlinear dynamical systems and/or complex systems can be used with well-established methods in dynamical systems theory. This is a critically important new direction because the governing equations of many problems under consideration by practitioners in various scientific

Get Book
Data Driven and Model Based Methods for Fault Detection and Diagnosis

Data-Driven and Model-Based Methods for Fault Detection and Diagnosis covers techniques that improve the quality of fault detection and enhance monitoring through chemical and environmental processes. The book provides both the theoretical framework and technical solutions. It starts with a review of relevant literature, proceeds with a detailed description of

Get Book
Data Driven Smart Manufacturing Technologies and Applications

This book reports innovative deep learning and big data analytics technologies for smart manufacturing applications. In this book, theoretical foundations, as well as the state-of-the-art and practical implementations for the relevant technologies, are covered. This book details the relevant applied research conducted by the authors in some important manufacturing applications,

Get Book