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Fault Diagnosis of LPRE Ground-testing Bed Based on PCA-SOM
Author(s) -
Zhigang Feng
Publication year - 2014
Publication title -
international journal of hybrid information technology
Language(s) - English
Resource type - Journals
eISSN - 2652-2233
pISSN - 1738-9968
DOI - 10.14257/ijhit.2014.7.2.33
Subject(s) - fault (geology) , pattern recognition (psychology) , computer science , geology , artificial intelligence , seismology
To effectively diagnose the deterministic faults of a LPRE ground-testing bed, the fault diagnosis method based on PCA and SOM is proposed. The dimension reduction process of PCA not only reduces data size, but also reduces noise influence. It also implements a visualization of fault status identification and fault variable orientation by SOM. Simulation and real fault data results indicate that the efficiency and identification ratio of PCA-SOM method are better than SOM method.

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