Predicting the Life Cycle of Complex Technical Systems (Cts)
World Academy of Science, Engineering and Technology 69 2010
Predicting the Life Cycle of Complex Technical Systems (CTS)
Khalil A. Yaghi, Samer Barakat commonly bump into each other by the automobile vehicle trailer during operation, and which can cause premature wear of trailer frame components [14]. During the life cycle of CTS quantitative changes are collected which leads to quantum leaps in operation suitability [6]. The description of CTS (a zero point of its life cycle) provides integrity of states. At the examination of CTS some problems could occur, for example, poor quality of manufacturing, absence of reviewing the drawing details, connections and welded seams [8]. Thus, during the assembly of an object, there may be various defects in it. Product exploitation (or testing) comes to the end during the moment corresponding to the limited design state, i.e. exhaustion of its resource. As specified above, the condition of CTS exploitation is the accumulation of undefined various characters and derivations. During the prediction phase of the life cycle of complex technical systems (CTS), the initial information used is extracted from the design of the analyzed variables, the generated data from tests conducted on the trial sample, the statistical information about the external conditions and behavior of this complex system and the ground tests on the system during the exploitation phase. The first two serve as the primary source for obtaining experimental and calculated data on the deformed conditions of the technical system under review. The remaining two sources are used for modeling the expected damages the system shall sustain throughout its life cycle [3]. The data collected at the final stages does not necessarily correspond to the principle requirements for plotting of stochastic models for systems similar in type and characteristics for all observations and control phases of the system [5,9]. These projects are complex enough for its varying
Predicting the Life Cycle of Complex Technical Systems (CTS)
Khalil A. Yaghi, Samer Barakat commonly bump into each other by the automobile vehicle trailer during operation, and which can cause premature wear of trailer frame components [14]. During the life cycle of CTS quantitative changes are collected which leads to quantum leaps in operation suitability [6]. The description of CTS (a zero point of its life cycle) provides integrity of states. At the examination of CTS some problems could occur, for example, poor quality of manufacturing, absence of reviewing the drawing details, connections and welded seams [8]. Thus, during the assembly of an object, there may be various defects in it. Product exploitation (or testing) comes to the end during the moment corresponding to the limited design state, i.e. exhaustion of its resource. As specified above, the condition of CTS exploitation is the accumulation of undefined various characters and derivations. During the prediction phase of the life cycle of complex technical systems (CTS), the initial information used is extracted from the design of the analyzed variables, the generated data from tests conducted on the trial sample, the statistical information about the external conditions and behavior of this complex system and the ground tests on the system during the exploitation phase. The first two serve as the primary source for obtaining experimental and calculated data on the deformed conditions of the technical system under review. The remaining two sources are used for modeling the expected damages the system shall sustain throughout its life cycle [3]. The data collected at the final stages does not necessarily correspond to the principle requirements for plotting of stochastic models for systems similar in type and characteristics for all observations and control phases of the system [5,9]. These projects are complex enough for its varying