Principal Component Analysis Based Method for a Fault Diagnosis Model DAMADICS Process
نویسندگان
چکیده
منابع مشابه
A Fault Diagnosis Method for Automaton based on Morphological Component Analysis and Ensemble Empirical Mode Decomposition
In the fault diagnosis of automaton, the vibration signal presents non-stationary and non-periodic, which make it difficult to extract the fault features. To solve this problem, an automaton fault diagnosis method based on morphological component analysis (MCA) and ensemble empirical mode decomposition (EEMD) was proposed. Based on the advantages of the morphological component analysis method i...
متن کاملA Fault Diagnosis Method for Automaton Based on Morphological Component Analysis and Ensemble Empirical Mode Decomposition
In the fault diagnosis of automaton, the vibration signal presents non-stationary and non-periodic, which make it difficult to extract the fault features. To solve this problem, an automaton fault diagnosis method based on morphological component analysis (MCA) and ensemble empirical mode decomposition (EEMD) was proposed. Based on the advantages of the morphological component analysis method i...
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Article history: Received 30 November 2013 Received in revised form 22 January 2014 Accepted 23 January 2014 Available online 31 January 2014
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ژورنال
عنوان ژورنال: Journal of the Korean Society of Safety
سال: 2016
ISSN: 1738-3803
DOI: 10.14346/jkosos.2016.31.4.35