Wyniki wyszukiwania - Biblioteka Nauki

1

Predicting economic indices of vehicle insurance using the “Grey-System Theory”

100%

Opoka K.

|

tom z. 107

119--133

EN

This paper contains a prognosis of vehicle insurance economic indices using the Grey System Theory. It has been prepared based on data provided by a certain insurance company. The following economic factors were analysed: number of insured vehicles, premiums income, amount of damage cases covered, and value of paid compensations. The results of this study indicate a reduction in all analysed indices over twelve months.

2

Decomposition of the symptom observation matrix and grey forecasting in vibration condition monitoring of machines

84%

Cempel C.

|

nr 4

569-579

EN

With the tools of modern metrology we can measure almost all variables in the phenomenon field of a working machine, and many of the measured quantities can be symptoms of machine conditions. On this basis, we can form a symptom observation matrix (SOM) intended for condition monitoring and wear trend (fault) identification. On the other hand, we know that contemporary complex machines may have many modes of failure, called faults. The paper presents a method of the extraction of the information about faults from the symptom observation matrix by means of singular value decomposition (SVD), in the form of generalized fault symptoms. As the readings of the symptoms can be unstable, the moving average of the SOM is applied with success. An attempt to assess the diagnostic contribution of a primary symptom is made, and also an approach to assess the symptom limit value and to connect the SVD methodology with neural nets is considered. Finally, a condition forecasting problem is discussed and an application of grey system theory (GST) to symptom prognosis is presented. These possibilities are illustrated by processing data taken directly from the machine vibration condition monitoring area.

3

Zastosowanie teorii szarych systemów do modelowania i prognozowania w diagnostyce maszyn

84%

Cempel C. , Tabaszewski M.

|

tom nr 2(42)

11-18

PL

Praca przedstawia metodologię budowy szarego modelu pierwszego rzędu przydatnego w prognozowaniu stanu za pomocą symptomów drganiowych. Pokazano na przykładach, że szare modele mogą mieć zastosowanie w diagnostyce maszyn prostych, dla których wystarcza podejście jedno symptomowe, jak też w diagnostyce wielo uszkodzeniowej obiektów złożonych. Zastosowano tu metodę szarych systemów Deng'a z odcinkowym prognozowania tzw. ślizgającym okienkiem, zaczerpniętą z najnowszej literatury przedmiotu.

EN

The paper presents methodology of grey system theory and the first order grey model GM(1,1), which can be applied for the machine condition forecasting using vibration symptoms, and rolling forecasting window. Basing on real data taken from vibration condition monitoring, it was shown successfully one step forecasting with the grey model applied to condition observation by one symptom only. It was shown also, that in case of multidimensional condition monitoring one can apply the same methodology to the generalized symptom of condition, obtained from singular value decomposition of symptom observation matrix.

4

Zastosowanie teorii szarych systemów do prognozy pozyskiwania i zużycia energii słonecznej w Polsce

84%

Janiszewski J.

|

2016

|

tom nr 1-4

53--58

PL

W publikacji poruszono zagadnienia dotyczące wykorzystania metody opartej na teorii szarych systemów (GST ang. Grey system theory) do modelowania i prognozowania pozyskiwania oraz zużycia energii słonecznej. Opracowano prognozy na bazie modelu szarych systemów ze względu na rosnące zapotrzebowanie wykorzystywania odnawialnych źródeł energii, prognozy mają na celu determinacje inwestycji dążących do ekologicznego pozyskiwania energii. Omówiono teorię szarych systemów a w szczególności modelu typu GM(1,1). Do badań wykorzystano dane statystyczne dotyczące Polski opublikowane przez Główny Urząd Statystyczny. Efektem badań są wyniki symulacji całkowitego pozyskania jak i zużycia energii słonecznej w Polsce.

EN

In the publication addressed issues concerning the use of the method based on the grey theory (GST. Grey system theory) for modeling and prediction for the acquisition and consumption of solar energy. Discuss the theory of gray systems and, in particular, model GM (1,1). The test uses the Polish statistics published by the Central Statistical Office. The result of the study are the simulation results of total acquisition and usage of solar energy in Poland.

5

Data mining based algorithm for analog circuits fault diagnosis

84%

Ossowski M. , Korzybski M.

|

tom R. 89, nr 2a

285--287

EN

The paper deals with feature selection of testing signals used for fault-driven analysis of analog circuits based on some grey systems properties. Simple two stages fault diagnostic strategy for circuits with limited access to internal nodes is presented, illustrated with the examples and discussed. Algorithm enabling to detect and localize single and multiple catastrophic faults, is prepared under assumption, that input data sets are extracted from DC analysis.

PL

W artykule przedstawiono dwuetapowy algorytm detekcji I lokalizacji pojedynczych i wielokrotnych uszkodzeń układów analogowych, oparty o pewne techniki drążenia danych i elementy teorii systemów szarych. Założono ograniczony dostęp do punktów wewnętrznych oraz możliwość analizy dynamicznej i stałoprądowej badanych układów.

6

Decomposition of the symptom observation matrix and grey forecasting in vibration condition monitoring of machines

59%

Cempel C.

|

tom Vol. 18, no 4

569-579

EN

With the tools of modern metrology we can measure almost all variables in the phenomenon field of a working machine, and many of the measured quantities can be symptoms of machine conditions. On this basis, we can form a symptom observation matrix (SOM) intended for condition monitoring and wear trend (fault) identification. On the other hand, we know that contemporary complex machines may have many modes of failure, called faults. The paper presents a method of the extraction of the information about faults from the symptom observation matrix by means of singular value decomposition (SVD), in the form of generalized fault symptoms. As the readings of the symptoms can be unstable, the moving average of the SOM is applied with success. An attempt to assess the diagnostic contribution of a primary symptom is made, and also an approach to assess the symptom limit value and to connect the SVD methodology with neural nets is considered. Finally, a condition forecasting problem is discussed and an application of grey system theory (GST) to symptom prognosis is presented. These possibilities are illustrated by processing data taken directly from the machine vibration condition monitoring area.