Machine learning and knowledge discovery for engineering systems health management

✍ Scribed by Ashok N Srivastava; Jiawei Han

• Publisher: Chapman & Hall/CRC
• Year: 2011
• Tongue: English
• Leaves: 490
• Series: Chapman & Hall/CRC data mining and knowledge discovery series
• Category: Library

✦ Table of Contents

Content: Data-Driven Methods for Systems Health Management Mining Data Streams: Systems and Algorithms, Charu C. Aggarwal and Deepak S. Turaga A Tutorial on Bayesian Networks for Systems Health Management, Arthur Choi, Lu Zheng, Adnan Darwiche, and Ole J. Mengshoel Anomaly Detection in a Fleet of Systems, Nikunij Oza and Santanu Das Discriminative Topic Models, Hanhuai Shan, Amrudin Agovic, and Arindam Banerjee Prognostic Performance Metrics, Kai Goebel, Abhinav Saxena , Sankalita Saha, Bhaskar Saha, and Jose Celaya Physics-Based Methods for Systems Health Management Gaussian Process Damage Prognosis under Random and Flight Profile Fatigue Loading, Aditi Chattopadhyay and Subhasish Mohanty Bayesian Analysis for Fatigue Damage Prognostics and Remaining Useful Life Prediction, Xuefei Guan and Yongming Liu Physics-Based Methods of Failure Analysis and Diagnostics in Human Space Flight, V.N. Smelyanskiy, D.G. Luchinsky, V. Hafiychuk, V.V. Osipov, I. Kulikov, and A. Patterson-Hine Model-Based Tools and Techniques for Real-Time System and Software Health Management, Sherif Abdelwahed, Abhishek Dubey, Gabor Karsai, and Nag Mahadevan Applications Real-Time Identification of Performance Problems in Large Distributed Systems, Moises Goldszmidt, Dawn Woodard, and Peter Bodik A Combined Model-Based and Data-Driven Prognostic Approach for Aircraft System Life Management, Marcos Orchard, George Vachtsevanos, and Kai Goebel Hybrid Models for Engine Health Management, Allan J. Volponi and Ravi Rajamani Extracting Critical Information from Free Text Data for Systems Health Management, Anne Kao, Stephen Poteet, and David Augustine Index