Use of Directional Spectra for Detection of Engine Cylinder Power Fault

Article type: Research Article

Authors: Lee, Chong-Won | Han, Yun-Sik | Park, Jong-Po

Affiliations: Center for Noise and Vibration Control (NOVIC), Department of Mechanical Engineering, Korea Advanced Institute of Science and Technology, Science Town, Taejon 305-701, South Korea | Vibration Research Team, Research and Development Center, Korea Heavy Industries and Construction Co., Ltd., P.O. Box 77, Changwon 641-792, South Korea

Abstract: 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.

DOI: 10.3233/SAV-1997-45-609

Journal: Shock and Vibration, vol. 4, no. 5-6, pp. 391-401, 1997