journal article
LitStream Collection
doi: 10.1177/003754978805000503pmid: N/A
A new time domain static network model of a three phase in duction motor with squirrel cage rotor is presented. Simulation of the dynamic behaviour of a machine fed through static power control equipment containing switching devices of one kind or another can be conveniently achieved using this model. The pro cedure is simple and can be applied, with considerable flexibility, to any system containing one or more induction machines. The model is inherently capable to account for iron losses as well. It is also suited for simulation of machine dynamics with un balance introduced in the stator electrical circuits by a fault, pro vided the structure of the windings remains unaltered. A similar network model can be derived to represent a machine with an asymmetrical internal fault which splits one or more stator phases into multiple sections with or without interconnections. A pre viously published model of a triac has been improved (Ghani 1981).
doi: 10.1177/003754978805000504pmid: N/A
The paper describes work of the RAND Strategy Assessment Center on knowledge-based models of strategic decisionmak ing. The models are more realistic than those focusing exclusively on quantitative calculations and they can provide a mechanism for focusing debate on policy issues where qualitative and quan titative measures must be used conjunctively. Debating the merits of formal rule-based models encourages the participants to con verge on the relative value of alternative variables, details of con text, and definitions.
Chang, Yih-Long; Shen, Sheldon
doi: 10.1177/003754978805000505pmid: N/A
In this paper, we develop a simulation model to analyze three different protocols for prioritized messages in CSMA/CD environ ment. Using SLAM // simulation language, the different phases of message transmission are represented as discrete events. Traf fic loads and priority ratios of messages are included in the model. Performance measures such as throughput, average waiting time, and average number of collisions are collected during the simula tion runs. Analysis of variance (ANOVA) is performed on the out puts and indicates statistically significant differences in perfor mance for the three protocols tested. This simulation modeling approach and subsequent analysis can be easily extended to in clude more factors and protocols in CSMA/CD systems.
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