Machine Learning and Knowledge Discovery for Engineering Systems Health Management is popular PDF and ePub book, written by Ashok N. Srivastava in 2016-04-19, it is a fantastic choice for those who relish reading online the Computers genre. Let's immerse ourselves in this engaging Computers book by exploring the summary and details provided below. Remember, Machine Learning and Knowledge Discovery for Engineering Systems Health Management can be Read Online from any device for your convenience.

Machine Learning and Knowledge Discovery for Engineering Systems Health Management Book PDF Summary

This volume presents state-of-the-art tools and techniques for automatically detecting, diagnosing, and predicting the effects of adverse events in an engineered system. It emphasizes the importance of these techniques in managing the intricate interactions within and between engineering systems to maintain a high degree of reliability. Reflecting the interdisciplinary nature of the field, the book explains how the fundamental algorithms and methods of both physics-based and data-driven approaches effectively address systems health management in application areas such as data centers, aircraft, and software systems.

Detail Book of Machine Learning and Knowledge Discovery for Engineering Systems Health Management PDF

Machine Learning and Knowledge Discovery for Engineering Systems Health Management
  • Author : Ashok N. Srivastava
  • Release : 19 April 2016
  • Publisher : CRC Press
  • ISBN : 9781439841792
  • Genre : Computers
  • Total Page : 502 pages
  • Language : English
  • PDF File Size : 19,9 Mb

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Machine Learning and Principles and Practice of Knowledge Discovery in Databases

Machine Learning and Principles and Practice of Knowledge Discovery in Databases Author : Michael Kamp,Irena Koprinska,Adrien Bibal,Tassadit Bouadi,Benoît Frénay,Luis Galárraga,José Oramas,Linara Adilova,Yamuna Krishnamurthy,Bo Kang,Christine Largeron,Jefrey Lijffijt,Tiphaine Viard,Pascal Welke,Massimiliano Ruocco,Erlend Aune,Claudio Gallicchio,Gregor Schiele,Franz Pernkopf,Michaela Blott,Holger Fröning,Günther Schindler,Riccardo Guidotti,Anna Monreale,Salvatore Rinzivillo,Przemyslaw Biecek,Eirini Ntoutsi,Mykola Pechenizkiy,Bodo Rosenhahn,Christopher Buckley,Daniela Cialfi,Pablo Lanillos,Maxwell Ramstead,Tim Verbelen,Pedro M. Ferreira,Giuseppina Andresini,Donato Malerba,Ibéria Medeiros,Philippe Fournier-Viger,M. Saqib Nawaz,Sebastian Ventura,Meng Sun,Min Zhou,Valerio Bitetta,Ilaria Bordino,Andrea Ferretti,Francesco Gullo,Giovanni Ponti,Lorenzo Severini,Rita Ribeiro,João Gama,Ricard Gavaldà,Lee Cooper,Naghmeh Ghazaleh,Jonas Richiardi,Damian Roqueiro,Diego Saldana Miranda,Konstantinos Sechidis,Guilherme Graça
Publisher : Springer Nature
File Size : 28,9 Mb
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