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Multiresolution analysis of vibration signals acquired from locomotive Diesel engine for classification of engine states basing on signal statistical parameters

Boguś P., Cieszyński M., Merkisz J.

Combustion Engines

2017

R. 56, nr 1

68--72

The paper presents a method of classification of locomotive Diesel engine states basing on vibration signals taken from an engine body and using chosen statistical parameters calculated for the original signal and it wavelet multiresolution components. The researches presented in the paper concern estimation of an engine states before and after a general repair. The target application of the presented researches is an on-line diagnostic system which can complement standard OBD systems. To this purpose the applied methods should not base on complex analysis of some spectral, time-frequency or scalogram plots but rather on choosing single diagnostic parameters which are suitable for the fast on-line diagnostic. The results have showed the significant difference in distinguishing of engine work before and after a general repair using some chosen statistical parameters applied to vibration signals.

Oxyethylation of fatty acid methyl ester in the presence of oxide catalysts

Sobczyńska A., Cieszyński M., Lukosek M., Alejski K.

Polish Journal of Chemical Technology

2006

Vol. 8, nr 4

109-111

The activity of heterogeneous catalysts based on magnesium and aluminum oxide composites proposed for the oxyethylation of fatty acid methyl esters are considered. Two types of catalysts are investigated: calcinated metal oxide composites and calcinated metal oxide composites activated by manganese. Calcination was carried out in the air and nitrogen atmosphere. The catalysts were characterized by the X-ray analysis and the measurements of specific surface and pores dimensions. The testing synthesis carried out in a 2-liter reactor showed an activity of catalysts. The highest activity was obtained for the catalyst with manganese calcinated in the nitrogen atmosphere.