Developing the operational reliabity of motor vehicles

• Authors: Piotr Bera , Małgorzata Heinrich , Grażyna Jasica , Jan Szybka
• Languages of publication: PL

Abstracts

PL

This article presents a process of developing operational reliability based on damage occurring during operation. A programme operating on the basis of the artificial neural network method was used to determine the probability of damage to selected engine elements. The results calculated in this way may serve as feedback information for the design process, enabling continuous improvement in the quality of the product, i.e. the automobile combustion engine. Factors taken into consideration during artificial neural network construction, the number of inputs and outputs resulting from the number of variables, and the learning algorithm were described.

Keywords

PL

developing reliability, operational reliability, artificial neural networks

• Publisher: [unknown2]
• Journal: Czasopismo Techniczne
• Year: -

Dates

online

2015-04-07

Contributors

author

Piotr Bera

author

Małgorzata Heinrich

author

Grażyna Jasica

author

Jan Szybka