Use of Directional Spectra for Detection of Engine Cylinder Power Fault | Zendy

ChongWon Lee | Zendy; Yun-Sik Han | Zendy; Jong-Po Park | Zendy

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Use of Directional Spectra for Detection of Engine Cylinder Power Fault

Author(s) -

ChongWon Lee,

Yun-Sik Han,

Jong-Po Park

Publication year - 1997

Publication title -

shock and vibration

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.418

H-Index - 45

eISSN - 1875-9203

pISSN - 1070-9622

DOI - 10.1155/1997/307013

Subject(s) - cylinder , spark (programming language) , fault (geology) , fast fourier transform , power (physics) , estimator , spectral line , acoustics , artificial neural network , ignition system , spectral density , cylinder block , vibration , engineering , computer science , mathematics , physics , algorithm , geology , mechanical engineering , statistics , artificial intelligence , aerospace engineering , telecommunications , seismology , quantum mechanics , astronomy , programming language

A diagnostic method, which uses the two-sided directional power spectra of complex-valued engine vibration signals, is presented and tested with four-cylinder compression and spark ignition engines for the diagnosis of cylinder power faults. As spectral estimators, the maximum likelihood and FFT methods are compared, and the multi-layer neural network is employed for pattern recognition. Experimental results show that the success rate for identifying the misfired cylinder is much higher with the use of two-sided directional power spectra than conventional one-sided power spectra.

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