structural health monitoring a machine learning perspective

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Structural Health Monitoring

Author : Charles R. Farrar
ISBN : 9781118443217
Genre : Technology & Engineering
File Size : 79. 26 MB
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Written by global leaders and pioneers in the field, this bookis a must-have read for researchers, practicing engineers anduniversity faculty working in SHM. Structural Health Monitoring: A Machine LearningPerspective is the first comprehensive book on the generalproblem of structural health monitoring. The authors, renownedexperts in the field, consider structural health monitoring in anew manner by casting the problem in the context of a machinelearning/statistical pattern recognition paradigm, first explainingthe paradigm in general terms then explaining the process in detailwith further insight provided via numerical and experimentalstudies of laboratory test specimens and in-situ structures.This paradigm provides a comprehensive framework for developing SHMsolutions. Structural Health Monitoring: A Machine LearningPerspective makes extensive use of the authors’ detailedsurveys of the technical literature, the experience they havegained from teaching numerous courses on this subject, and theresults of performing numerous analytical and experimentalstructural health monitoring studies. Considers structural health monitoring in a new manner bycasting the problem in the context of a machinelearning/statistical pattern recognition paradigm Emphasises an integrated approach to the development ofstructural health monitoring solutions by coupling the measurementhardware portion of the problem directly with the datainterrogation algorithms Benefits from extensive use of the authors’ detailedsurveys of 800 papers in the technical literature and theexperience they have gained from teaching numerous short courses onthis subject.

Structural Health Monitoring

Author : Ruqiang Yan
ISBN : 9783319561264
Genre : Technology & Engineering
File Size : 78. 98 MB
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This book highlights the latest advances and trends in advanced signal processing (such as wavelet theory, time-frequency analysis, empirical mode decomposition, compressive sensing and sparse representation, and stochastic resonance) for structural health monitoring (SHM). Its primary focus is on the utilization of advanced signal processing techniques to help monitor the health status of critical structures and machines encountered in our daily lives: wind turbines, gas turbines, machine tools, etc. As such, it offers a key reference guide for researchers, graduate students, and industry professionals who work in the field of SHM.

Structural Health Monitoring Damage Detection Volume 7

Author : Christopher Niezrecki
ISBN : 9783319541099
Genre : Technology & Engineering
File Size : 85. 62 MB
Format : PDF
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Structural Health Monitoring & Damage Detection, Volume 7: Proceedings of the 35th IMAC, A Conference and Exposition on Structural Dynamics, 2017, the seventh volume of ten from the Conference brings together contributions to this important area of research and engineering. The collection presents early findings and case studies on fundamental and applied aspects of Structural Health Monitoring & Damage Detection, including papers on: Structural Health Monitoring Damage Detection System Identification Active Controls

Structural Health Monitoring Damage Detection Mechatronics Volume 7

Author : Alfred Wicks
ISBN : 9783319299563
Genre : Technology & Engineering
File Size : 56. 13 MB
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Structural Health Monitoring, Damage Detection & Mechatronics, Volume 7. Proceedings of the 34th IMAC, A Conference and Exposition on Dynamics of Multiphysical Systems: From Active Materials to Vibroacoustics, 2016, the seventh volume of ten from the Conference brings together contributions to this important area of research and engineering. The collection presents early fi ndings and case studies on fundamental and applied aspects of Structural Dynamics, including papers on: • Structural Health Monitoring • Damage Detection • Numerical Modeling • Mechatronics • System Identifi cation • Active Controls

Structural Health Monitoring Shm Of Civil Structures

Author : Gangbing Song
ISBN : 9783038427834
Genre : Business & Economics
File Size : 69. 80 MB
Format : PDF
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This book is a printed edition of the Special Issue "Structural Health Monitoring (SHM) of Civil Structures" that was published in Applied Sciences

Data Mining

Author : Ian H. Witten
ISBN : 3446215336
Genre :
File Size : 20. 50 MB
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Faserverbund Kunststoffe

Author : Gottfried Wilhelm Ehrenstein
ISBN : 9783446457546
Genre : Technology & Engineering
File Size : 61. 13 MB
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Die Natur kombiniert ständig verschiedenartige Materialien zu Werkstoff-Verbunden, um verbesserte Eigenschaften und Synergieeffekte zu erzielen. Im Bereich der Werkstofftechnik ist dies bei der innovativsten Werkstoffgruppe, den Faserverbund-Kunststoffen, am ehesten gelungen und am weitesten fortgeschritten. Aus einzelnen Komponenten, den hochfesten Fasern und der Matrix, wird ein Werkstoff konstruiert, der erst während seiner Verarbeitung endgültig entsteht. Die erfolgreiche Optimierung setzt vertiefte Kenntnisse der Eigenschaften der Komponenten und deren Zusammenwirken voraus. Das Ziel einer Anwendung muss ebenso im Auge behalten werden wie mögliche Einflüsse während der Verarbeitung und das besondere Verhalten beim Einsatz des fertigen Bauteils. Das Buch umfasst daher die werkstoffkundlichen und mechanischen Grundlagen der Faserverbund-Kunststoffe, die Eigenschaften der Einzelkomponenten und deren Zusammenwirken, die Verarbeitungstechnik und Prozessabläufe sowie eine Einführung in die Auslegung von Bauteilen. Dies wird in logischer, fachübergreifender und verständlicher Darstellung vermittelt. Inhalt: - Verstärkungsfasern - Matrix - Fasern im Verbund - Verarbeitung - Mechanische Prüfung - Auslegung von Mehrschichtverbunden

Grundri Der Sinnesphysiologie

Author : Robert F. Schmidt
ISBN : 9783642961632
Genre : Medical
File Size : 43. 83 MB
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Human And Machine Learning

Author : Jianlong Zhou
ISBN : 9783319904030
Genre : Computers
File Size : 21. 31 MB
Format : PDF
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With an evolutionary advancement of Machine Learning (ML) algorithms, a rapid increase of data volumes and a significant improvement of computation powers, machine learning becomes hot in different applications. However, because of the nature of “black-box” in ML methods, ML still needs to be interpreted to link human and machine learning for transparency and user acceptance of delivered solutions. This edited book addresses such links from the perspectives of visualisation, explanation, trustworthiness and transparency. The book establishes the link between human and machine learning by exploring transparency in machine learning, visual explanation of ML processes, algorithmic explanation of ML models, human cognitive responses in ML-based decision making, human evaluation of machine learning and domain knowledge in transparent ML applications. This is the first book of its kind to systematically understand the current active research activities and outcomes related to human and machine learning. The book will not only inspire researchers to passionately develop new algorithms incorporating human for human-centred ML algorithms, resulting in the overall advancement of ML, but also help ML practitioners proactively use ML outputs for informative and trustworthy decision making. This book is intended for researchers and practitioners involved with machine learning and its applications. The book will especially benefit researchers in areas like artificial intelligence, decision support systems and human-computer interaction.

Homo Sapiens

Author : Ray Kurzweil
ISBN : 3548750265
Genre :
File Size : 41. 20 MB
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