Ranking of sensitive positions using empirical mode decomposition and Hilbert Transform

Proceedings of the 2014 9th IEEE Conference on Industrial Electronics and Applications, ICIEA 2014

Volumn , Issue , 2014, Pages 1926-1931

  Verma, Nishchal K ^a   Singh, Nitin K ^a   Sevakula, Rahul K ^a   Salour, Al ^b  

^a INDIAN INSTITUTE OF TECHNOLOGY KANPUR   (India)

^b BOEING COMPANY   (United States)

Author keywords

data acquisition; empirical mode decomposition; hilbert transform; sensitive positions; sensors; statistical analysis

Indexed keywords

ACOUSTIC EMISSION TESTING; ACOUSTIC NOISE; DATA ACQUISITION; GAS COMPRESSORS; INDUSTRIAL ELECTRONICS; MATHEMATICAL TRANSFORMATIONS; SENSORS; STATISTICAL METHODS;

ACOUSTIC DATA; EMPIRICAL MODE DECOMPOSITION; FAULT RECOGNITION; HILBERT TRANSFORM; MACHINE HEALTH; NORMAL CONDITION; SENSITIVE POSITIONS; STATISTICAL PARAMETERS;

CONDITION MONITORING;

EID: 84912095086     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICIEA.2014.6931483     Document Type: Conference Paper

References (11)

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