Machine Learning and Knowledge Discovery for Engineering Systems Health Management
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Published By Chapman And Hall/CRC

9780429151309

Latest Documents Most Cited Documents Contributed Authors Related Sources Related Keywords

A Tutorial on Bayesian Networks for Systems Health Management

Machine Learning and Knowledge Discovery for Engineering Systems Health Management ◽

10.1201/b11580-2 ◽

2016 ◽

pp. 39-66

Author(s):

Arthur Choi ◽

Lu Zheng ◽

Adnan Darwiche ◽

Ole J. Mengshoel

Keyword(s):

Bayesian Networks ◽

Health Management

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Hybrid Models for Engine Health Management

Machine Learning and Knowledge Discovery for Engineering Systems Health Management ◽

10.1201/b11580-12 ◽

2016 ◽

pp. 395-422

Author(s):

Allan J. Volponi ◽

Ravi Rajamani

Keyword(s):

Health Management ◽

Hybrid Models

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Mining Data Streams: Systems and Algorithms

Machine Learning and Knowledge Discovery for Engineering Systems Health Management ◽

10.1201/b11580-1 ◽

2016 ◽

pp. 3-37

Author(s):

Charu C. Aggarwal ◽

Deepak S. Turaga

Keyword(s):

Data Streams ◽

Mining Data Streams

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Model-Based Tools and Techniques for Real-Time System and Software Health Management

Machine Learning and Knowledge Discovery for Engineering Systems Health Management ◽

10.1201/b11580-9 ◽

2016 ◽

pp. 285-335 ◽

Cited By ~ 1

Author(s):

Sherif Abdelwahed ◽

Abhishek Dubey ◽

Gabor Karsai ◽

Nagabhushan Mahadevan

Keyword(s):

Real Time ◽

Health Management ◽

Time System ◽

Real Time System ◽

Model Based ◽

Software Health Management ◽

Tools And Techniques

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Prognostic Performance Metrics

Machine Learning and Knowledge Discovery for Engineering Systems Health Management ◽

10.1201/b11580-5 ◽

2016 ◽

pp. 147-177

Author(s):

Kai Goebel ◽

Abhinav Saxena ◽

Sankalita Saha ◽

Bhaskar Saha ◽

Jose Celaya

Keyword(s):

Performance Metrics ◽

Prognostic Performance

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Discriminative Topic Models

Machine Learning and Knowledge Discovery for Engineering Systems Health Management ◽

10.1201/b11580-4 ◽

2016 ◽

pp. 115-146 ◽

Cited By ~ 1

Author(s):

Hanhuai Shan ◽

Amrudin Agovic ◽

Arindam Banerjee

Keyword(s):

Topic Models

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Extracting Critical Information from Free Text Data for Systems Health Management

Machine Learning and Knowledge Discovery for Engineering Systems Health Management ◽

10.1201/b11580-13 ◽

2016 ◽

pp. 423-449

Author(s):

Anne Kao ◽

Stephen Poteet ◽

David Augustine

Keyword(s):

Health Management ◽

Free Text ◽

Text Data ◽

Critical Information

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Real-Time Identification of Performance Problems in Large Distributed Systems

Machine Learning and Knowledge Discovery for Engineering Systems Health Management ◽

10.1201/b11580-10 ◽

2016 ◽

pp. 339-362

Author(s):

Moises Goldszmidt ◽

Dawn Woodard ◽

Peter Bodik

Keyword(s):

Distributed Systems ◽

Real Time ◽

Performance Problems ◽

Real Time Identification

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Gaussian Process Damage Prognosis under Random and Flight Profile Fatigue Loading

Machine Learning and Knowledge Discovery for Engineering Systems Health Management ◽

10.1201/b11580-6 ◽

2016 ◽

pp. 181-201

Author(s):

Aditi Chattopadhyay ◽

Subhasish Mohanty

Keyword(s):

Gaussian Process ◽

Fatigue Loading ◽

Damage Prognosis ◽

Flight Profile ◽

Process Damage

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Bayesian Analysis for Fatigue Damage Prognostics and Remaining Useful Life Prediction

Machine Learning and Knowledge Discovery for Engineering Systems Health Management ◽

10.1201/b11580-7 ◽

2016 ◽

pp. 203-243 ◽

Cited By ~ 3

Author(s):

Xuefei Guan ◽

Yongming Liu

Keyword(s):

Bayesian Analysis ◽

Fatigue Damage ◽

Life Prediction ◽

Remaining Useful Life ◽

Useful Life

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Machine Learning and Knowledge Discovery for Engineering Systems Health ManagementLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Chapman And Hall/CRC

A Tutorial on Bayesian Networks for Systems Health Management

Hybrid Models for Engine Health Management

Mining Data Streams: Systems and Algorithms

Model-Based Tools and Techniques for Real-Time System and Software Health Management

Prognostic Performance Metrics

Discriminative Topic Models

Extracting Critical Information from Free Text Data for Systems Health Management

Real-Time Identification of Performance Problems in Large Distributed Systems

Gaussian Process Damage Prognosis under Random and Flight Profile Fatigue Loading

Bayesian Analysis for Fatigue Damage Prognostics and Remaining Useful Life Prediction

Machine Learning and Knowledge Discovery for Engineering Systems Health Management
Latest Publications