Download or read book Dynamics of Machinery written by Hans Dresig and published by Springer Science & Business Media. This book was released on 2010-07-27 with total page 553 pages. Available in PDF, EPUB and Kindle. Book excerpt: Dynamic loads and undesired oscillations increase with higher speed of machines. At the same time, industrial safety standards require better vibration reduction. This book covers model generation, parameter identification, balancing of mechanisms, torsional and bending vibrations, vibration isolation, and the dynamic behavior of drives and machine frames as complex systems. Typical dynamic effects, such as the gyroscopic effect, damping and absorption, shocks, resonances of higher order, nonlinear and self-excited vibrations are explained using practical examples. These include manipulators, flywheels, gears, mechanisms, motors, rotors, hammers, block foundations, presses, high speed spindles, cranes, and belts. Various design features, which influence the dynamic behavior, are described. The book includes 60 exercises with detailed solutions. The substantial benefit of this "Dynamics of Machinery" lies in the combination of theory and practical applications and the numerous descriptive examples based on real-world data. The book addresses graduate students as well as engineers.
Download or read book Data Driven Science and Engineering written by Steven L. Brunton and published by Cambridge University Press. This book was released on 2022-05-05 with total page 615 pages. Available in PDF, EPUB and Kindle. Book excerpt: A textbook covering data-science and machine learning methods for modelling and control in engineering and science, with Python and MATLAB®.
Download or read book Machine Learning Advanced Dynamic Omics Data Analysis for Precision Medicine written by Tao Zeng and published by Frontiers Media SA. This book was released on 2020-03-30 with total page 393 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Automatic Data Processing Equipment written by United States. Congress. House. Committee on Government Operations. Government Activities Subcommittee and published by . This book was released on 1965 with total page 634 pages. Available in PDF, EPUB and Kindle. Book excerpt: Considers H.R. 4845, to coordinate Federal ADP purchases, leases, and maintenance through GSA. Appendix contains Bureau of Budget report "Automatic Data Processing Responsibilities" (Sept. 1958-June 1959. 567-614 p.)
Download or read book Dynamics and Control of Machines written by V.K. Astashev and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 242 pages. Available in PDF, EPUB and Kindle. Book excerpt: Basic models and concepts of machine dynamics and motion control are presented in the order of the principal steps of machine design. The machine is treated as a coupled dynamical system, including drive, mechanisms and controller, to reveal its behavior at different regimes through the interaction of its units under dynamic and processing loads. The main dynamic effects in machines are explained. The influence of component compliances on accuracy, stability and efficiency of the machines is analyzed. Methods for decreasing internal and external vibration activity of machines are described. The dynamic features of digital control are considered. Special attention is given to machines with intense dynamic behavior: resonant and hand-held percussion ones. Targeted to engineers as well as to lecturers and advanced students.
Download or read book Handbook of Machinery Dynamics written by Lynn Faulkner and published by CRC Press. This book was released on 2000-12-14 with total page 597 pages. Available in PDF, EPUB and Kindle. Book excerpt: Considering a broad range of fundamental factors and conditions influencing the optimal design and operation of machinery, the Handbook of Machinery Dynamics emphasizes the force and motion analysis of machine components in multiple applications. Containing details on basic theories and particular problems, the Handbook of Machinery Dynamics
Download or read book Machine Learning in Python for Dynamic Process Systems written by Ankur Kumar and published by MLforPSE. This book was released on 2023-06-01 with total page 208 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is designed to help readers gain a working-level knowledge of machine learning-based dynamic process modeling techniques that have proven useful in process industry. Readers can leverage the concepts learned to build advanced solutions for process monitoring, soft sensing, inferential modeling, predictive maintenance, and process control for dynamic systems. The application-focused approach of the book is reader friendly and easily digestible to the practicing and aspiring process engineers, and data scientists. The authors of this book have drawn from their years of experience in developing data-driven industrial solutions to provide a guided tour along the wide range of available ML methods and declutter the world of machine learning for dynamic process modeling. Upon completion, readers will be able to confidently navigate the system identification literature and make judicious selection of modeling approaches suitable for their problems. This book has been divided into three parts. Part 1 of the book provides perspectives on the importance of ML for dynamic process modeling and lays down the basic foundations of ML-DPM (machine learning for dynamic process modeling). Part 2 provides in-detail presentation of classical ML techniques and has been written keeping in mind the different modeling requirements and process characteristics that determine a model’s suitability for a problem at hand. These include, amongst others, presence of multiple correlated outputs, process nonlinearity, need for low model bias, need to model disturbance signal accurately, etc. Part 3 is focused on artificial neural networks and deep learning. The following topics are broadly covered: · Exploratory analysis of dynamic dataset · Best practices for dynamic modeling · Linear and discrete-time classical parametric and non-parametric models · State-space models for MIMO systems · Nonlinear system identification and closed-loop identification · Neural networks-based dynamic process modeling
Download or read book Reciprocating Machinery Dynamics written by Abdulla S. Rangwala and published by New Age International. This book was released on 2006 with total page 556 pages. Available in PDF, EPUB and Kindle. Book excerpt: This Book Primarily Written To Meet The Needs Of Practicing Engineers In A Large Variety Of Industries Where Reciprocating Machines Are Used, Although All Of The Material Is Suitable For College Undergraduate Level Design Engineering Courses. It Is Expected That The Reader Is Familiar With Basic To Medium Level Calculus Offered At The College Undergraduate Level.The First Chapter Of The Book Deals With Classical Vibration Theory, Starting With A Single Degree Of Freedom System, To Develop Concepts Of Damping, Response And Unbalance. The Second Chapter Deals With Types And Classification Of Reciprocating Machines, While The Third Chapter Discusses Detail-Design Aspects Of Machine Components. The Fourth Chapter Introduces The Dynamics Of Slider And Cranks Mechanism, And Provides Explanation Of The Purpose And Motion Of Various Components.The Fifth Chapter Looks Into Dynamic Forces Created In The System, And Methods To Balance Gas Pressure And Inertia Loads. The Sixth Chapter Explains The Torsional Vibration Theory And Looks At The Different Variables Associated With It. Chapter Seven Analyzes Flexural Vibrations And Lateral Critical Speed Concepts, Together With Journal Bearings And Their Impact On A Rotating System. Advanced Analytical Techniques To Determine Dynamic Characteristics Of All Major Components Of Reciprocating Machinery Are Presented In Chapter Eight. Methods To Mitigate Torsional Vibrations In A Crankshaft Using Absorbers Are Analyzed In Close Detail. Various Mechanisms Of Flexural Excitation Sources And Their Response On A Rotor-Bearing System Are Explored. Stability Of A Rotor And Different Destabilizing Mechanisms Are Also Included In This Chapter.Techniques In Vibration Measurement And Balancing Of Reciprocating And Rotating Systems Are Presented In Chapter Nine. Chapter Ten Looks At Computational Fluid Dynamics Aspects Of Flow Through Intake And Exhaust Manifolds, As Well As Fluid Flow Induced Component Vibrations. Chapter Eleven Extends This Discussion To Pressure Pulsations In Piping Attached To Reciprocating Pumps And Compressors. Chapter Twelve Considers The Interaction Between The Structural Dynamics Of Components And Noise, Together With Methods To Improve Sound Quality. Optimized Design Of Components Of Reciprocating Machinery For Specified Parameters And Set Target Values Is Investigated At Length In Chapter Thirteen. Practicing Engineers Interested In Applying The Theoretical Model To Their Own Operating System Will Find Case Histories Shown In Chapter FourteenUseful.
Download or read book Inventory of Automatic Data Processing ADP Equipment in the Federal Government written by and published by . This book was released on 1965 with total page 684 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Inventory of Automatic Data Processing Equipment in the United States Government written by and published by . This book was released on 1964 with total page 372 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Rotordynamics written by Agnieszka Muszynska and published by CRC Press. This book was released on 2005-05-20 with total page 1100 pages. Available in PDF, EPUB and Kindle. Book excerpt: As the most important parts of rotating machinery, rotors are also the most prone to mechanical vibrations, which may lead to machine failure. Correction is only possible when proper and accurate diagnosis is obtained through understanding of rotor operation and all of the potential malfunctions that may occur. Mathematical modeling, in particular
Download or read book Data Analytics and Machine Learning written by Pushpa Singh and published by Springer Nature. This book was released on with total page 357 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Dynamic Data Analysis written by James Ramsay and published by Springer. This book was released on 2017-06-27 with total page 242 pages. Available in PDF, EPUB and Kindle. Book excerpt: This text focuses on the use of smoothing methods for developing and estimating differential equations following recent developments in functional data analysis and building on techniques described in Ramsay and Silverman (2005) Functional Data Analysis. The central concept of a dynamical system as a buffer that translates sudden changes in input into smooth controlled output responses has led to applications of previously analyzed data, opening up entirely new opportunities for dynamical systems. The technical level has been kept low so that those with little or no exposure to differential equations as modeling objects can be brought into this data analysis landscape. There are already many texts on the mathematical properties of ordinary differential equations, or dynamic models, and there is a large literature distributed over many fields on models for real world processes consisting of differential equations. However, a researcher interested in fitting such a model to data, or a statistician interested in the properties of differential equations estimated from data will find rather less to work with. This book fills that gap.
Download or read book Advances in Machine Learning and Data Analysis written by Mahyar Amouzegar and published by Springer Science & Business Media. This book was released on 2009-10-27 with total page 241 pages. Available in PDF, EPUB and Kindle. Book excerpt: A large international conference on Advances in Machine Learning and Data Analysis was held in UC Berkeley, California, USA, October 22-24, 2008, under the auspices of the World Congress on Engineering and Computer Science (WCECS 2008). This volume contains sixteen revised and extended research articles written by prominent researchers participating in the conference. Topics covered include Expert system, Intelligent decision making, Knowledge-based systems, Knowledge extraction, Data analysis tools, Computational biology, Optimization algorithms, Experiment designs, Complex system identification, Computational modeling, and industrial applications. Advances in Machine Learning and Data Analysis offers the state of the art of tremendous advances in machine learning and data analysis and also serves as an excellent reference text for researchers and graduate students, working on machine learning and data analysis.
Download or read book Use of Electronic Data Processing Equipment written by United States. Congress. House. Committee on Post Office and Civil Service and published by . This book was released on 1962 with total page 340 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Computer Aided Analysis and Optimization of Mechanical System Dynamics written by E. J. Haug and published by Springer Science & Business Media. This book was released on 2013-06-29 with total page 706 pages. Available in PDF, EPUB and Kindle. Book excerpt: These proceedings contain lectures presented at the NATO-NSF-ARO sponsored Advanced Study I~stitute on "Computer Aided Analysis and Optimization of Mechanical System Dynamics" held in Iowa City, Iowa, 1-12 August, 1983. Lectures were presented by free world leaders in the field of machine dynamics and optimization. Participants in the Institute were specialists from throughout NATO, many of whom presented contributed papers during the Institute and all of whom participated actively in discussions on technical aspects of the subject. The proceedings are organized into five parts, each addressing a technical aspect of the field of computational methods in dynamic analysis and design of mechanical systems. The introductory paper presented first in the text outlines some of the numerous technical considerations that must be given to organizing effective and efficient computational methods and computer codes to serve engineers in dynamic analysis and design of mechanical systems. Two substantially different approaches to the field are identified in this introduction and are given attention throughout the text. The first and most classical approach uses a minimal set of Lagrangian generalized coordinates to formulate equations of motion with a small number of constraints. The second method uses a maximal set of cartesian coordinates and leads to a large number of differential and algebraic constraint equations of rather simple form. These fundamentally different approaches and associated methods of symbolic computation, numerical integration, and use of computer graphics are addressed throughout the proceedings.
Download or read book Dynamic Fuzzy Machine Learning written by Fanzhang Li and published by Walter de Gruyter GmbH & Co KG. This book was released on 2017-12-04 with total page 338 pages. Available in PDF, EPUB and Kindle. Book excerpt: Machine learning is widely used for data analysis. Dynamic fuzzy data are one of the most difficult types of data to analyse in the field of big data, cloud computing, the Internet of Things, and quantum information. At present, the processing of this kind of data is not very mature. The authors carried out more than 20 years of research, and show in this book their most important results. The seven chapters of the book are devoted to key topics such as dynamic fuzzy machine learning models, dynamic fuzzy self-learning subspace algorithms, fuzzy decision tree learning, dynamic concepts based on dynamic fuzzy sets, semi-supervised multi-task learning based on dynamic fuzzy data, dynamic fuzzy hierarchy learning, examination of multi-agent learning model based on dynamic fuzzy logic. This book can be used as a reference book for senior college students and graduate students as well as college teachers and scientific and technical personnel involved in computer science, artificial intelligence, machine learning, automation, data analysis, mathematics, management, cognitive science, and finance. It can be also used as the basis for teaching the principles of dynamic fuzzy learning.
