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Utilisation of selected regression functions for oil data assessment

Valis David

Zeszyty Naukowe WSEI. Seria Transport i Informatyka

2014

T. 4, nr 1

103--116

The paper deals with application of selected analytical methods for analysing field data from heavy off-road military vehicles. It is the vehicle engine and its oil data which are explored for further utilisation. The pieces of information from the engine oil are interpreted in form of deteriorated oil characteristics and polluting particles in oil. These pieces of information have good technical and analytical potential. However they are not always used for system condition determination therefore has not been explored well yet. Thanks to well working the diagnostics there are the data collected in some fields but never calculated and used of estimation neither prediction. The novelty is to providing inputs for helping to change e.g. the system maintenance policy, system operation and mission planning.

Wzrastające wymagania niezawodności i trwałości środków transportu determinują zastosowanie nowoczesnych systemów diagnostycznych oraz minimalizacji operacji obsługowych. Jednym ze sposobów pozyskania sygnałów diagnostycznych jest okresowe badanie składu oleju silnikowego. Zdaniem autora jest to jeden ważniejszych źródeł pozyskani informacji o stanie obiektu technicznego. W artykule przedstawiono metodologię wykorzystania informacji diagnostycznej pozyskanej z badania oleju silnikowego do optymalizacji czynności obsługowych.

The management of prediction method in the system of investment decisions making

Wiliński A., Rejer I.

Management and Production Engineering Review

2011

Vol. 2, No. 2

46-52

The aim of the paper is to find a method of using prediction rules in time series in such a way to maximize the profit considering the risk. To deal with this task, a regression approach to prediction was chosen. Hence, the paper refers to relation between autoregression of a chosen time series and investment strategies. The time series under consideration is the most important polish financial instrument, a future contract on WIG20. Usually, it is rather easy to prove statistically that the autoregression of a single time series cannot be considered as an effective method for forecasting WIG20 quotations for investment purpose. However, the authors find the relation between the autoregression (and also multi-regression) and real future values of WIG20 which can be the source of effective strategies. The paper presents both - the theoretical description of the proposed strategies and results of their application for monthly data of WIG20, unemployment rate and money supply in Poland (data from years 1995-2007).