Please use this identifier to cite or link to this item:
|Title:||The time-frequency method of signal analysis in internal combustion engine diagnostics|
|Authors:||Avramchuk, Valery Stepanovich|
Kazmin, Viktor Pavlovich
Faerman, Vladimir Andreevich
Le, V. T.
|Keywords:||частотно-временные методы; сигналы; диагностика; двигатели внутреннего сгорания; частотно-временные корреляционные функции; неисправности; редукторы|
|Citation:||The time-frequency method of signal analysis in internal combustion engine diagnostics / V. S. Avramchuk [et al.] // Journal of Physics: Conference Series. — 2017. — Vol. 803 : Information Technologies in Business and Industry (ITBI2016) : International Conference, 21–26 September 2016, Tomsk, Russian Federation : [proceedings]. — [012012, 6 p.].|
|Abstract:||The paper presents the results of the study of applicability of time-frequency correlation functions to solving the problems of internal combustion engine fault diagnostics. The proposed methods are theoretically justified and experimentally tested. In particular, the method's applicability is illustrated by the example of specially generated signals that simulate the vibration of an engine both during the normal operation and in the case of a malfunction in the system supplying fuel to the cylinders. This method was confirmed during an experiment with an automobile internal combustion engine. The study offers the main findings of the simulation and the experiment and highlights certain characteristic features of time-frequency autocorrelation functions that allow one to identify malfunctions in an engine's cylinder. The possibility in principle of using time-frequency correlation functions in function testing of the internal combustion engine is demonstrated. The paper's conclusion proposes further research directions including the application of the method to diagnosing automobile gearboxes.|
|Appears in Collections:||Материалы конференций|
Files in This Item:
|dx.doi.org-10.1088-1742-6596-803-1-012012.pdf||826,75 kB||Adobe PDF||View/Open|
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.