JOURNAL ARTICLE

Fault detection and diagnosis using empirical mode decomposition based principal component analysis

Yuncheng DuDongping Du

Year: 2018 Journal:   Computers & Chemical Engineering Vol: 115 Pages: 1-21   Publisher: Elsevier BV
Keywords:
Principal component analysis Hilbert–Huang transform CUSUM Fault (geology) Fault detection and isolation Pattern recognition (psychology) Computer science Algorithm Data mining Artificial intelligence Filter (signal processing) Mathematics Statistics

Metrics

64
Cited By
7.63
FWCI (Field Weighted Citation Impact)
66
Refs
0.98
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Fault Detection and Control Systems
Physical Sciences →  Engineering →  Control and Systems Engineering
Machine Fault Diagnosis Techniques
Physical Sciences →  Engineering →  Control and Systems Engineering
Spectroscopy and Chemometric Analyses
Physical Sciences →  Chemistry →  Analytical Chemistry
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