Abstract
Inspired by the nature immune system, artificial immune system (AIS) is a kind of intelligent algorithm and provides learning mechanisms of noise endurance, self-organization, memory, etc. Combining the advantages of classifier, ANN, and machine learning, AIS provides a new way for the fault diagnosis.
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© 2016 Springer-Verlag Berlin Heidelberg and National Defense Industry Press
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Zhang, W. (2016). Fault Diagnosis Method Based on Artificial Immune System. In: Failure Characteristics Analysis and Fault Diagnosis for Liquid Rocket Engines. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-49254-3_7
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DOI: https://doi.org/10.1007/978-3-662-49254-3_7
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Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-662-49252-9
Online ISBN: 978-3-662-49254-3
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