Machine Component Analysis with MATLAB

Machine Design Analysis with MATLAB is a highly practical guide to the fundamental principles of machine design which covers the static and dynamic behavior of engineering structures and components. MATLAB has transformed the way calculations are made for engineering problems by computationally generating analytical calculations, as well as providing numerical calculations. Using step-by-step, real world example problems, this book demonstrates how you can use symbolic and numerical MATLAB as a tool to solve problems in machine design. This book provides a thorough, rigorous presentation of machine design, augmented with proven learning techniques which can be used by students and practicing engineers alike. Comprehensive coverage of the fundamental principles in machine design Uses symbolical and numerical MATLAB calculations to enhance understanding and reinforce learning Includes well-designed real-world problems and solutions

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  • Author : Dan B. Marghitu
  • Publisher : Butterworth-Heinemann
  • Pages : 232 pages
  • ISBN : 0128042451
  • Rating : 4/5 from 21 reviews
CLICK HERE TO GET THIS BOOKMachine Component Analysis with MATLAB

Machine Component Analysis with MATLAB

Machine Component Analysis with MATLAB
  • Author : Dan B. Marghitu,Mihai Dupac
  • Publisher : Butterworth-Heinemann
  • Release : 12 February 2019
GET THIS BOOKMachine Component Analysis with MATLAB

Machine Design Analysis with MATLAB is a highly practical guide to the fundamental principles of machine design which covers the static and dynamic behavior of engineering structures and components. MATLAB has transformed the way calculations are made for engineering problems by computationally generating analytical calculations, as well as providing numerical calculations. Using step-by-step, real world example problems, this book demonstrates how you can use symbolic and numerical MATLAB as a tool to solve problems in machine design. This book provides

Machine Component Analysis with MATLAB

Machine Component Analysis with MATLAB
  • Author : Dan B. Marghitu,Mihai Dupac
  • Publisher : Butterworth-Heinemann
  • Release : 15 March 2019
GET THIS BOOKMachine Component Analysis with MATLAB

Machine Design Analysis with MATLAB is a highly practical guide to the fundamental principles of machine design which covers the static and dynamic behavior of engineering structures and components. MATLAB has transformed the way calculations are made for engineering problems by computationally generating analytical calculations, as well as providing numerical calculations. Using step-by-step, real world example problems, this book demonstrates how you can use symbolic and numerical MATLAB as a tool to solve problems in machine design. This book provides

Mechanical Design of Machine Components

Mechanical Design of Machine Components
  • Author : Ansel C. Ugural
  • Publisher : Taylor & Francis
  • Release : 03 September 2018
GET THIS BOOKMechanical Design of Machine Components

Analyze and Solve Real-World Machine Design Problems Using SI Units Mechanical Design of Machine Components, Second Edition: SI Version strikes a balance between method and theory, and fills a void in the world of design. Relevant to mechanical and related engineering curricula, the book is useful in college classes, and also serves as a reference for practicing engineers. This book combines the needed engineering mechanics concepts, analysis of various machine elements, design procedures, and the application of numerical and computational

Design and Analysis of Mechanisms

Design and Analysis of Mechanisms
  • Author : Michael J. Rider
  • Publisher : John Wiley & Sons
  • Release : 07 July 2015
GET THIS BOOKDesign and Analysis of Mechanisms

A planar or two-dimensional (2D) mechanism is the combination of two or more machine elements that are designed to convey a force or motion across parallel planes. For any mechanical engineer, young or old, an understanding of planar mechanism design is fundamental. Mechanical components and complex machines, such as engines or robots, are often designed and conceptualised in 2D before being extended into 3D. Designed to encourage a clear understanding of the nature and design of planar mechanisms, this book

Environmental Systems Analysis with MATLAB®

Environmental Systems Analysis with MATLAB®
  • Author : Stefano Marsili-Libelli
  • Publisher : CRC Press
  • Release : 03 September 2018
GET THIS BOOKEnvironmental Systems Analysis with MATLAB®

Explore the inner workings of environmental processes using a mathematical approach. Environmental Systems Analysis with MATLAB® combines environmental science concepts and system theory with numerical techniques to provide a better understanding of how our environment works. The book focuses on building mathematical models of environmental systems, and using these models to analyze their behaviors. Designed with the environmental professional in mind, it offers a practical introduction to developing the skills required for managing environmental modeling and data handling. The book

Unsupervised Process Monitoring and Fault Diagnosis with Machine Learning Methods

Unsupervised Process Monitoring and Fault Diagnosis with Machine Learning Methods
  • Author : Chris Aldrich,Lidia Auret
  • Publisher : Springer Science & Business Media
  • Release : 15 June 2013
GET THIS BOOKUnsupervised Process Monitoring and Fault Diagnosis with Machine Learning Methods

This unique text/reference describes in detail the latest advances in unsupervised process monitoring and fault diagnosis with machine learning methods. Abundant case studies throughout the text demonstrate the efficacy of each method in real-world settings. The broad coverage examines such cutting-edge topics as the use of information theory to enhance unsupervised learning in tree-based methods, the extension of kernel methods to multiple kernel learning for feature extraction from data, and the incremental training of multilayer perceptrons to construct deep

Condition Monitoring with Vibration Signals

Condition Monitoring with Vibration Signals
  • Author : Asoke K. Nandi,Hosameldin Ahmed
  • Publisher : John Wiley & Sons
  • Release : 16 October 2019
GET THIS BOOKCondition Monitoring with Vibration Signals

Provides an extensive, up-to-date treatment of techniques used for machine condition monitoring Clear and concise throughout, this accessible book is the first to be wholly devoted to the field of condition monitoring for rotating machines using vibration signals. It covers various feature extraction, feature selection, and classification methods as well as their applications to machine vibration datasets. It also presents new methods including machine learning and compressive sampling, which help to improve safety, reliability, and performance. Condition Monitoring with Vibration

Power Systems Analysis Illustrated with MATLAB and ETAP

Power Systems Analysis Illustrated with MATLAB and ETAP
  • Author : Hemchandra Madhusudan Shertukde
  • Publisher : CRC Press
  • Release : 15 January 2019
GET THIS BOOKPower Systems Analysis Illustrated with MATLAB and ETAP

Electrical power is harnessed using several energy sources, including coal, hydel, nuclear, solar, and wind. Generated power is needed to be transferred over long distances to support load requirements of customers, viz., residential, industrial, and commercial. This necessitates proper design and analysis of power systems to efficiently control the power flow from one point to the other without delay, disturbance, or interference. Ideal for utility and power system design professionals and students, this book is richly illustrated with MATLAB® and

Automating Vibrational Spectroscopy Data Preprocessing and Multivariate Analysis with MATLAB(R)

Automating Vibrational Spectroscopy Data Preprocessing and Multivariate Analysis with MATLAB(R)
  • Author : Tanmoy Bhattacharjee
  • Publisher : Unknown Publisher
  • Release : 20 May 2022
GET THIS BOOKAutomating Vibrational Spectroscopy Data Preprocessing and Multivariate Analysis with MATLAB(R)

This Spotlight teaches the commands necessary to analyze spectroscopic data (Raman/FTIR) using MATLAB. It explains how to build an analysis routine step by step and perform pre-processing and multivariate analysis with a single click. The script for support vector machines (SVMs) is also briefly addressed so that readers can build a script tailored to their own laboratory routine.

MATLAB for Machine Learning

MATLAB for Machine Learning
  • Author : Giuseppe Ciaburro
  • Publisher : Packt Publishing Ltd
  • Release : 28 August 2017
GET THIS BOOKMATLAB for Machine Learning

Extract patterns and knowledge from your data in easy way using MATLAB About This Book Get your first steps into machine learning with the help of this easy-to-follow guide Learn regression, clustering, classification, predictive analytics, artificial neural networks and more with MATLAB Understand how your data works and identify hidden layers in the data with the power of machine learning. Who This Book Is For This book is for data analysts, data scientists, students, or anyone who is looking to

Integrative Production Technology

Integrative Production Technology
  • Author : Christian Brecher,Denis Özdemir
  • Publisher : Springer
  • Release : 09 January 2017
GET THIS BOOKIntegrative Production Technology

This contributed volume contains the research results of the Cluster of Excellence “Integrative Production Technology for High-Wage Countries”, funded by the German Research Society (DFG). The approach to the topic is genuinely interdisciplinary, covering insights from fields such as engineering, material sciences, economics and social sciences. The book contains coherent deterministic models for integrative product creation chains as well as harmonized cybernetic models of production systems. The content is structured into five sections: Integrative Production Technology, Individualized Production, Virtual Production

Exploratory Data Analysis with MATLAB

Exploratory Data Analysis with MATLAB
  • Author : Wendy L. Martinez,Angel R. Martinez,Jeffrey Solka
  • Publisher : CRC Press
  • Release : 07 August 2017
GET THIS BOOKExploratory Data Analysis with MATLAB

Praise for the Second Edition: "The authors present an intuitive and easy-to-read book. ... accompanied by many examples, proposed exercises, good references, and comprehensive appendices that initiate the reader unfamiliar with MATLAB." —Adolfo Alvarez Pinto, International Statistical Review "Practitioners of EDA who use MATLAB will want a copy of this book. ... The authors have done a great service by bringing together so many EDA routines, but their main accomplishment in this dynamic text is providing the understanding and tools to do

Introduction to Statistical Machine Learning

Introduction to Statistical Machine Learning
  • Author : Masashi Sugiyama
  • Publisher : Morgan Kaufmann
  • Release : 31 October 2015
GET THIS BOOKIntroduction to Statistical Machine Learning

Machine learning allows computers to learn and discern patterns without actually being programmed. When Statistical techniques and machine learning are combined together they are a powerful tool for analysing various kinds of data in many computer science/engineering areas including, image processing, speech processing, natural language processing, robot control, as well as in fundamental sciences such as biology, medicine, astronomy, physics, and materials. Introduction to Statistical Machine Learning provides a general introduction to machine learning that covers a wide range

Computational Statistics Handbook with MATLAB

Computational Statistics Handbook with MATLAB
  • Author : Wendy L. Martinez,Angel R. Martinez
  • Publisher : CRC Press
  • Release : 20 December 2007
GET THIS BOOKComputational Statistics Handbook with MATLAB

As with the bestselling first edition, Computational Statistics Handbook with MATLAB, Second Edition covers some of the most commonly used contemporary techniques in computational statistics. With a strong, practical focus on implementing the methods, the authors include algorithmic descriptions of the procedures as well as