A Transductive Learning Approach to Process Fault Identification

A Transductive Learning Approach to Process Fault Identification

The problem of fault identification is considered using recent developments in machine learning that allow the use of unlabeled data to optimally define decision boundaries that separate data belonging to different categories. Traditionally, fault identification uses either hardware redundancy or so...

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Bibliographic Details
Main Authors: Jemwa, G., Aldrich, Chris
Other Authors: Gorden T. Jemwa
Format: Conference Paper
Published: Elsevier 2010
Subjects:
Fault Diagnosis
Machine Learning
Fault Identification
Pattern Recognition
Online Access:http://hdl.handle.net/20.500.11937/15577

Internet

http://hdl.handle.net/20.500.11937/15577

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