This book introduces the methods for predicting the future behavior of a system's health and the remaining useful life to determine an appropriate maintenance schedule. The authors introduce the history, industrial applications, algorithms, and benefits and challenges of PHM (Prognostics and Health Management) to help readers understand this highly interdisciplinary engineering approach that incorporates sensing technologies, physics of failure, machine learning, modern statistics, and reliability engineering. It is ideal for beginners because it introduces various prognostics algorithms and explains their attributes, pros and cons in terms of model definition, model parameter estimation, and ability to handle noise and bias in data, allowing readers to select the appropriate methods for their fields of application.Among the many topics discussed in-depth are:* Prognostics tutorials using least-squares* Bayesian inference and parameter estimation* Physics-based prognostics algorithms including nonlinear least squares, Bayesian method, and particle filter* Data-driven prognostics algorithms including Gaussian process regression and neural network* Comparison of different prognostics algorithms The authors also present several applications of prognostics in practical engineering systems, including wear in a revolute joint, fatigue crack growth in a panel, prognostics using accelerated life test data, fatigue damage in bearings, and more. Prognostics tutorials with a Matlab code using simple examples are provided, along with a companion website that presents Matlab programs for different algorithms as well as measurement data. Each chapter contains a comprehensive set of exercise problems, some of which require Matlab programs, making this an ideal book for graduate students in mechanical, civil, aerospace, electrical, and industrial engineering and engineering mechanics, as well as researchers and maintenance engineers in the above fields.

Extensive numerical methods for computing design sensitivity are included in the text for practical application and software development. The numerical method allows integration of CAD-FEA-DSA software tools, so that design optimization can be carried out using CAD geometric models instead of FEA models. This capability allows integration of CAD-CAE-CAM so that optimized designs can be manufactured effectively.

Extensive numerical methods for computing design sensitivity are included in the text for practical application and software development. The numerical method allows integration of CAD-FEA-DSA software tools, so that design optimization can be carried out using CAD geometric models instead of FEA models. This capability allows integration of CAD-CAE-CAM so that optimized designs can be manufactured effectively.

This book introduces the key concepts of nonlinear finite element analysis procedures. The book explains the fundamental theories of the field and provides instructions on how to apply the concepts to solving practical engineering problems. Instead of covering many nonlinear problems, the book focuses on three representative problems: nonlinear elasticity, elastoplasticity, and contact problems. The book is written independent of any particular software, but tutorials and examples using four commercial programs are included as appendices: ANSYS, NASTRAN, ABAQUS, and MATLAB. In particular, the MATLAB program includes all source codes so that students can develop their own material models, or different algorithms. Please visit the author's website for supplemental material, including PowerPoint presentations and MATLAB codes, at http://www2.mae.ufl.edu/nkim/INFEM/

This book introduces the methods for predicting the future behavior of a system's health and the remaining useful life to determine an appropriate maintenance schedule. The authors introduce the history, industrial applications, algorithms, and benefits and challenges of PHM (Prognostics and Health Management) to help readers understand this highly interdisciplinary engineering approach that incorporates sensing technologies, physics of failure, machine learning, modern statistics, and reliability engineering. It is ideal for beginners because it introduces various prognostics algorithms and explains their attributes, pros and cons in terms of model definition, model parameter estimation, and ability to handle noise and bias in data, allowing readers to select the appropriate methods for their fields of application.Among the many topics discussed in-depth are:* Prognostics tutorials using least-squares* Bayesian inference and parameter estimation* Physics-based prognostics algorithms including nonlinear least squares, Bayesian method, and particle filter* Data-driven prognostics algorithms including Gaussian process regression and neural network* Comparison of different prognostics algorithms The authors also present several applications of prognostics in practical engineering systems, including wear in a revolute joint, fatigue crack growth in a panel, prognostics using accelerated life test data, fatigue damage in bearings, and more. Prognostics tutorials with a Matlab code using simple examples are provided, along with a companion website that presents Matlab programs for different algorithms as well as measurement data. Each chapter contains a comprehensive set of exercise problems, some of which require Matlab programs, making this an ideal book for graduate students in mechanical, civil, aerospace, electrical, and industrial engineering and engineering mechanics, as well as researchers and maintenance engineers in the above fields.

This book introduces the key concepts of nonlinear finite element analysis procedures. The book explains the fundamental theories of the field and provides instructions on how to apply the concepts to solving practical engineering problems. Instead of covering many nonlinear problems, the book focuses on three representative problems: nonlinear elasticity, elastoplasticity, and contact problems. The book is written independent of any particular software, but tutorials and examples using four commercial programs are included as appendices: ANSYS, NASTRAN, ABAQUS, and MATLAB. In particular, the MATLAB program includes all source codes so that students can develop their own material models, or different algorithms. Please visit the author's website for supplemental material, including PowerPoint presentations and MATLAB codes, at http://www2.mae.ufl.edu/nkim/INFEM/

Extensive numerical methods for computing design sensitivity are included in the text for practical application and software development. The numerical method allows integration of CAD-FEA-DSA software tools, so that design optimization can be carried out using CAD geometric models instead of FEA models. This capability allows integration of CAD-CAE-CAM so that optimized designs can be manufactured effectively.

Extensive numerical methods for computing design sensitivity are included in the text for practical application and software development. The numerical method allows integration of CAD-FEA-DSA software tools, so that design optimization can be carried out using CAD geometric models instead of FEA models. This capability allows integration of CAD-CAE-CAM so that optimized designs can be manufactured effectively.

Studienarbeit aus dem Jahr 2012 im Fachbereich Philosophie - Philosophie des 20. Jahrhunderts / Gegenwart, Note: keine, Rheinische Friedrich-Wilhelms-Universitat Bonn, Sprache: Deutsch, Anmerkungen: Die Utopie, von der die Eliminativisten traumen, in der die mentalen Vokabulare ausschliesslich durch die physiologischen ersetzt werden konnen, kann gar nicht realisiert werden. Der Mensch als Person lebt nicht nur in der physikalischen Welt, sondern auch in der Lebenswelt. Und der Mensch lebt nicht mit den Neuronen zusammen, sondern mit Personen., Abstract: Mit diesem Aufsatz versuche ich zu skizzieren, was die Grundideen des Pragmatischen Dualismus sind und wo er in der Landkarte des Bereichs namens Philosophie des Geistes verortet werden kann. Der pragmatische Dualismus ist eine alternative Position, mit der die theoretischen Schwierigkeiten der beiden dominierenden Positionen in der Gegenwartsphilosophie des Geistes, also der Naturalismus einschliesslich des Physikalismus und der Eigenschaftsdualismus uberwunden werden konnen. Um meine Position zu skizzieren, werde ich erstens die Kritik des Eliminativismus an der klassischen Identitatstheorie, zweitens eine alternative Idee von Thomas Nagel fur die klassische Identitatstheorie und drittens eine andere alternative Idee von Karl Popper erlautern und kritisch bewerten. Danach werde ich abschliessend meine Strategie und die Grundideen des pragmatischen Dualismus als Problemlosungsversuch formulier

Bachelorarbeit aus dem Jahr 2010 im Fachbereich Psychologie - Allgemeine Psychologie, Note: 1.0, Carl von Ossietzky Universitat Oldenburg, Sprache: Deutsch, Anmerkungen: Diese vorliegende Studie geht der Frage nach, wo die Grenze der naturalistischen Theorien hinsichtlich des Menschen liegt., Abstract: Konnen wir die grundlegenden Probleme in der Philosophie des Geistes losen? Oder sind wir nicht in der Lage, sie losen zu konnen, wie die New Mysterians, wie Bieri, Levine, Chalmers, McGinn, Strawson, behaupten? Ich vertrete die Meinung, dass die grundlegenden Probleme in der Philosophie des Geistes (GP) von den erkenntnistheoretischen Lucken zwischen der Wirklichkeit und den Konzepten her nicht gelost werden konnen und dass wir es daher ernstnehmen sollten, einen anderen Weg zu finden. In dieser vorliegenden Studie werde ich Folgendes verdeutlichen: Die den gegenwartigen naturalistischen Theorien uber die mentalen Eigenschaften des Menschen zugrundeliegenden Probleme sind im Grunde unlosbar. Aus diesem Grund stosst die immanente Kritik an dem Naturalismus an ihre Grenzen. Daher benotigen wir neue Kriterien, um solche Theorien besser bewerten zu konnen