Structural Dynamics in Engineering Design
Structural Dynamics in Engineering Design

Author: Nuno M. M. Maia

Publisher: John Wiley & Sons

Published: 2024-03-18

Total Pages: 596

ISBN-13: 1118770706

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World-class authors describe and illustrate how structural dynamics is applied to the engineering design process Structural Dynamics in Engineering Design covers the fundamentals of structural dynamics and its application to the engineering design process, providing all of the necessary information to implement an optimal design process. Each of its seven chapters is written by an expert in the field and provides the reader with the structural dynamic theoretical background and its more practical aspects for the implementation of an advanced design capability. The first three chapters are dedicated to the underlying theory of the three main processes: the fundamentals of vibration theory, the basis of experimental dynamics and the main numerical analysis tools (including reference to the finite element method). Having laid the foundation of the design philosophy, the following three chapters present the reader with the three disciplines of identification, nonlinear analysis and validation/updating. The final chapter presents some applications of the approach to real and complex engineering cases. Key features: Takes a multi-disciplinary approach and contains critical information on theory, testing and numerical analysis for structural dynamics. Includes a chapter on industrial applications (including aircraft design and ground vibration testing), which illustrates the design process and explains how structural dynamics is applied at different stages. The book is a must-have for researchers and practitioners in mechanical and aerospace engineering (in particular test engineers, CAE analysts and structural dynamicists), as well as graduate students in mechanical and aerospace engineering departments.

Sensor Data Analysis and Management
Sensor Data Analysis and Management

Author: A. Suresh

Publisher: John Wiley & Sons

Published: 2021-11-22

Total Pages: 228

ISBN-13: 1119682428

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Discover detailed insights into the methods, algorithms, and techniques for deep learning in sensor data analysis Sensor Data Analysis and Management: The Role of Deep Learning delivers an insightful and practical overview of the applications of deep learning techniques to the analysis of sensor data. The book collects cutting-edge resources into a single collection designed to enlighten the reader on topics as varied as recent techniques for fault detection and classification in sensor data, the application of deep learning to Internet of Things sensors, and a case study on high-performance computer gathering and processing of sensor data. The editors have curated a distinguished group of perceptive and concise papers that show the potential of deep learning as a powerful tool for solving complex modelling problems across a broad range of industries, including predictive maintenance, health monitoring, financial portfolio forecasting, and driver assistance. The book contains real-time examples of analyzing sensor data using deep learning algorithms and a step-by-step approach for installing and training deep learning using the Python keras library. Readers will also benefit from the inclusion of: A thorough introduction to the Internet of Things for human activity recognition, based on wearable sensor data An exploration of the benefits of neural networks in real-time environmental sensor data analysis Practical discussions of supervised learning data representation, neural networks for predicting physical activity based on smartphone sensor data, and deep-learning analysis of location sensor data for human activity recognition An analysis of boosting with XGBoost for sensor data analysis Perfect for industry practitioners and academics involved in deep learning and the analysis of sensor data, Sensor Data Analysis and Management: The Role of Deep Learning will also earn a place in the libraries of undergraduate and graduate students in data science and computer science programs.

Accelerometer Data Analysis and Presentation Techniques
Accelerometer Data Analysis and Presentation Techniques

Author: National Aeronautics and Space Administration (NASA)

Publisher: Createspace Independent Publishing Platform

Published: 2018-06-28

Total Pages: 46

ISBN-13: 9781722041434

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The NASA Lewis Research Center's Principal Investigator Microgravity Services project analyzes Orbital Acceleration Research Experiment and Space Acceleration Measurement System data for principal investigators of microgravity experiments. Principal investigators need a thorough understanding of data analysis techniques so that they can request appropriate analyses to best interpret accelerometer data. Accelerometer data sampling and filtering is introduced along with the related topics of resolution and aliasing. Specific information about the Orbital Acceleration Research Experiment and Space Acceleration Measurement System data sampling and filtering is given. Time domain data analysis techniques are discussed and example environment interpretations are made using plots of acceleration versus time, interval average acceleration versus time, interval root-mean-square acceleration versus time, trimmean acceleration versus time, quasi-steady three dimensional histograms, and prediction of quasi-steady levels at different locations. An introduction to Fourier transform theory and windowing is provided along with specific analysis techniques and data interpretations. The frequency domain analyses discussed are power spectral density versus frequency, cumulative root-mean-square acceleration versus frequency, root-mean-square acceleration versus frequency, one-third octave band root-mean-square acceleration versus frequency, and power spectral density versus frequency versus time (spectrogram). Instructions for accessing NASA Lewis Research Center accelerometer data and related information using the internet are provided. Rogers, Melissa J. B. and Hrovat, Kenneth and McPherson, Kevin and Moskowitz, Milton E. and Reckart, Timothy Glenn Research Center RTOP 963-60-0D...

Advances in Intelligent Data Analysis X
Advances in Intelligent Data Analysis X

Author: João Gama

Publisher: Springer

Published: 2011-10-25

Total Pages: 438

ISBN-13: 3642248004

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This book constitutes the refereed proceedings of the 10th International Conference on Intelligent Data Analysis, IDA 2011, held in Porto, Portugal, in October 2011. The 19 revised full papers and 16 revised poster papers resented together with 3 invited papers were carefully reviewed and selected from 73 submissions. All current aspects of intelligent data analysis are addressed, particularly intelligent support for modeling and analyzing complex, dynamical systems. The papers offer intelligent support for understanding evolving scientific and social systems including data collection and acquisition, such as crowd sourcing; data cleaning, semantics and markup; searching for data and assembling datasets from multiple sources; data processing, including workflows, mixed-initiative data analysis, and planning; data and information fusion; incremental, mixed-initiative model development, testing and revision; and visualization and dissemination of results; etc.

Remote Techniques for Nuclear Plant
Remote Techniques for Nuclear Plant

Author:

Publisher: Thomas Telford

Published: 1993

Total Pages: 388

ISBN-13: 0727719319

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This volume covers the practical application of remote technology to all types of nuclear plant, both experimental and commercial. It concentrates on the remote inspection, refurbishment and decommissioning of: reactor pressure vehicles; reactor internal components, primary circuits, boiler and steam generators, PIE. and fuel routes, reprocessing plant and radioactive waste storage. The emphasis is on equipment currently in use, and it also covers equipment under consideration and development. Consisting of 44 papers, these proceedings draw on the experience of nuclear engineers from around the world to form a substantial reference work on remote techniques for the inspection and refurbishment of nuclear plant.