z-logo
open-access-imgOpen Access
Data-driven fault detection using trending analysis
Author(s) -
Min Luo
Publication year - 2022
Language(s) - Uncategorized
Resource type - Dissertations/theses
DOI - 10.31390/gradschool_dissertations.3185
Subject(s) - support vector machine , subsequence , computer science , data mining , classifier (uml) , pattern recognition (psychology) , one class classification , decision boundary , artificial intelligence , fault detection and isolation , algorithm , machine learning , mathematics , mathematical analysis , actuator , bounded function

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here