Algorithmic method of analysis of time series data for definition of prognostic parameters of engine fault

Author

Kirillov, Alexandr ; Kirillova, Olga ; Kirillov, Sergey

Author_Institution

GRIDMotors Lab., SmartTech Appl R&D Center, Vitebsk, Belarus

fYear

2011

fDate

18-20 Jan. 2011

Firstpage

138

Lastpage

142

Abstract

The paper describes an algorithmic method for predicting the failure of internal combustion engines. The method is based on the construction of discrete series of sequences of wavelet coefficients of vibration signals and their analysis in terms of Kolmogorov complexity and entropy. The main principles of the computing program of preventive diagnostics are discussed.

Keywords

acoustic signal processing; data analysis; entropy; failure analysis; fault diagnosis; internal combustion engines; mechanical engineering computing; time series; vibrations; wavelet transforms; Kolmogorov complexity; algorithmic method; computing program; discrete series; engine fault; entropy; failure prediction; internal combustion engines; preventive diagnostics; prognostic parameters; time series data analysis; vibration signals; wavelet coefficient sequence; Engines; Gold; Zirconium; Kolmogorov complexity; engine; entropy; fault prognosis; preventive diagnostics;

fLanguage

English

Publisher

ieee

Conference_Titel

Advanced Computer Control (ICACC), 2011 3rd International Conference on

Conference_Location

Harbin

Print_ISBN

978-1-4244-8809-4

Electronic_ISBN

978-1-4244-8810-0

Type

conf

DOI

10.1109/ICACC.2011.6016384

Filename

6016384