The main contribution of this paper concerns the reconfigurability evaluation of fault tolerant control system with respect of the reliability requirements and actuators aging.
In respect of the reliability of self-assessment, researchers (eg Blatchford 1997; Ross 2006; Sung et al. 2005) conclude that consistency in self-assessment can be obtained across tasks and items over short time.
The data analysis primarily involves application of confirmatory factor analysis for validating the instrument in respect of unidimensionality, reliability, convergent validity, discriminant validity, nomological validity and criterion-related validity.
As the SEM is at an early stage of development, it was assessed whether improvements in respect of model reliability and validity can be achieved.
This paper interests to the properties of fault-tolerant control system with respect to reliability of components.
From this analysis we conclude that there is no critical false-positive issue with respect to reliability of SPF method-based predictions, especially if the utilized network context is comprised of only experimentally validated genetic interactions.
The proposed strategies, as well as the traditional strategies in the literature, are evaluated with respect to reliability (coverage of observations by the envelope of model outcomes) and sharpness (width of the envelope of model outcomes) in different numerical experiments.
Such weaknesses may be of particular importance with the additive model, since the number of items has an important influence on the final measurement properties of the questionnaire, especially with respect to reliability, and the form of score distribution (i. e., significant ceiling and floor effects) [ 12].
The resulting temperature distributions are an appropriate engineering tool for the further development of vias with respect to reliability and high ampacity.
The adjusted single-step blending method performed slightly better than the original single-step blending method, both with respect to reliability and bias of genomic predictions.
