During an operation phase, a technical system accomplishes goals for the purpose of which it was designed and created. The execution of the system operation tasks induces changes in the system feature values. The changes origin from an impact of wearing factors, which can be divided into two groups, dependent on and independent, from the system operation. The state of the system is determined by the values of the system features. Therefore, during the operation phase, the state of the system is changing. If the physical features of the system reach the boundary values due to the wearing factors, the system switches to a boundary state and the further operation is not possible because of a risk of a failure appearance. The changes of the system state can be expressed in the system feature space. The dimensions of the space are the cardinal features of the system. In this paper, the space of cardinal features of the system was defined. The points in that space are the technical states of the system. For the dimensions of the space, the characteristic points and ranges were introduced. Within the space, the areas of ability, disability and limited ability of the system were formulated as well. The representation of system technical 16 PROBLEMY EKSPLOATACJI – MAINTENANCE PROBLEMS 1-2014 states in the defined space makes it possible to develop the numeric model of the system-operating task for an exemplary research object.
[1]
M. Pająk,et al.
Maintenance strategy by controlled consumption of operational potential
,
2009
.
[2]
M. Pająk.
The space of a feature of a complex technical system
,
2010
.
[3]
M. Pająk.
Rozmyte rozszerzenie metody TKE określania jakości procesu użytkowania bloków energetycznych
,
2007
.
[4]
Ł. Muślewski,et al.
Rozmyty model oceny jakości działania złożonego systemu eksploatacji
,
2005
.
[5]
Stephen Mann,et al.
Geometric algebra for computer science - an object-oriented approach to geometry
,
2007,
The Morgan Kaufmann series in computer graphics.
[6]
M. Pająk.
The analysis of usefulness of operational potential consumption models to control complex technical systems maintenance
,
2010
.