The Hilbert-Huang transform and its application in processing dynamic signals of gas sensors

Proceedings - 2009 International Conference on Information Engineering and Computer Science, ICIECS 2009

Volumn , Issue , 2009, Pages

  Wei, Guangfen ^a   An, Wen ^a   Gao, Fajin ^a   Tang, Zhenan ^b   Yu, Jun ^b  

^a SHANDONG INSTITUTE OF BUSINESS AND TECHNOLOGY   (China)

^b DALIAN UNIVERSITY OF TECHNOLOGY   (China)

Author keywords

Dynamic signal processing; Gas sensor; Hilbert Huang transform; Temperature modulation

Indexed keywords

DETECTED GAS; DYNAMIC SIGNALS; EMD METHOD; EMPIRICAL MODE DECOMPOSITION; FREQUENCY DOMAINS; GAS SENSING; GAS SENSORS; HILBERT HUANG TRANSFORMS; HILBERT SPECTRUM; INTRINSIC MODES; INTRINSIC RESPONSE; MARGINAL SPECTRUM; METAL OXIDE SENSORS; PHYSICAL MEANINGS; PROCESSING TOOLS; SENSOR RESPONSE; SENSOR SYSTEMS; SIGNAL PROCESSING TECHNIQUE; TEMPERATURE MODULATION; TIME FREQUENCY;

ACOUSTIC SIGNAL PROCESSING; CHEMICAL SENSORS; COMPUTER SCIENCE; DISCRETE WAVELET TRANSFORMS; DYNAMIC ANALYSIS; DYNAMIC RESPONSE; FAST FOURIER TRANSFORMS; GAS DETECTORS; GAS SENSING ELECTRODES; GASES; MATHEMATICAL TRANSFORMATIONS; METALLIC COMPOUNDS; SMELTING; TIME DOMAIN ANALYSIS; TRANSIENT ANALYSIS; VIBRATION MEASUREMENT;

SIGNAL PROCESSING;

EID: 77949597473     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICIECS.2009.5366437     Document Type: Conference Paper

References (8)

1. K. An Ngo, P. Lanque, K. Aguir, High performance of a gas identification system using sensor array and temperature modulation, Sens. Actuators B,vol.124 pp. 209-216, 2007.
2. D.C.Meier, J.K.Evju, Z.Boger, B.Raman, K.D.Benksterin, C.J.Martinez, C.B.Montgomery, S.Semancik, The potential for and ahallenges of detecting chemical hazards with temperature-programmed microsensors, Sens. Actuators B, vol. 121, pp.282-294, 2007.
3. A.Vergara, E.Llobet, E.Martinelli, C. Di Natale, A. D'Amico, X.Correrig, Feature extraction of metal oxide gas sensors using dynamic moments, Sens. Actuators B vol.122, pp. 219-226, 2007.
4. S.Nakata, H.Okunishi, Y.Nakashima, Distinction of gases with a semiconductor sensor under a cyclic temperature modulation with second-harmonic heating, Sens.Actuators B, vol.119, pp.556-561, 2006.
5. N.E.Huang, S.Zheng and R L. Steven. The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis. Proc.R.Soc.Lond.A, pp. 903-995,1998.
6. J.C. Echeverria, J.A. Crowe, M.S. Woolfson, B.R. Hayes-Gill. Application of empirical mode decomposition to heart rate variability analysis. Medical & Biological Engineering & Computing. 2001, Vol.39, pp.471-479.
7. L.R. Shen, X.Y. Li, Q.B. Yin and H.Q. Wang. Speech Enhancement in Short-Wave Channel Based on ICA in Empirical Mode Decomposition Domain, Lecture Notes in Computer Science, vol.3889, pp. 708-713, 2006.
8. B. Liu, S. Riemenschneider,Y.Xu. Gearbox fault diagnosis using empirical mode decomposition and Hilbert spectrum. Mechanical Systems and Signal Processing. 2006, vol.20, pp.718-734.