Machine learning and knowledge discovery for engineering systems health management / edited by Ashok N. Srivastava, Jiawei Han.

Format:

Book

Contributor:

Srivastava, Ashok N. (Ashok Narain), 1969-

Han, Jiawei.

Series:

Chapman & Hall/CRC data mining and knowledge discovery series.

Chapman & Hall/CRC data mining and knowledge discovery series

Language:

English

Subjects (All):

System failures (Engineering)--Prevention--Data processing.

System failures (Engineering).

Machine learning.

Physical Description:

1 online resource (491 p.)

Edition:

1st edition

Place of Publication:

Boca Raton, Fla. : CRC Press, an imprint of Taylor & Francis Group, 2012.

Language Note:

English

System Details:

text file

Summary:

"Systems health is a broad multidisciplinary field of study that generates huge amounts of data and thus is an extremely appropriate forum in which to utilize machine learning and knowledge discovery techniques. This book explores the use of machine learning and knowledge discovery in systems health research. It covers data mining and text mining algorithms, anomaly detection, diagnostic and prognostic systems, and applications to engineering systems. Featuring contributions from leading experts, the book is the first to explore this emerging research area"-- Provided by publisher.

Contents:

section 1. Data-driven methods for systems health management

section 2. Physics-based methods for systems health management

section 3. Applications.

Notes:

A Chapman & Hall book.

Includes bibliographical references.

Description based on publisher supplied metadata and other sources.

ISBN:

1-000-75571-1

1-5231-2643-4

0-429-15130-6

1-4665-4827-4

1-4398-4179-9

9780429151309

OCLC:

778447804