The paper deals with the performing of a critical analysis of the problems arising in matching the classical models of the statistical and phenomenological thermodynamics. The performed analysis shows that some concep...The paper deals with the performing of a critical analysis of the problems arising in matching the classical models of the statistical and phenomenological thermodynamics. The performed analysis shows that some concepts of the statistical and phenomenological methods of describing the classical systems do not quite correlate with each other. Particularly, in these methods various caloric ideal gas equations of state are employed, while the possibility existing in the thermodynamic cyclic processes to obtain the same distributions both due to a change of the particle concentration and owing to a change of temperature is not allowed for in the statistical methods. The above-mentioned difference of the equations of state is cleared away when using in the statistical functions corresponding to the canonical Gibbs equations instead of the Planck’s constant a new scale factor that depends on the parameters of a system and coincides with the Planck’s constant in going of the system to the degenerate state. Under such an approach, the statistical entropy is transformed into one of the forms of heat capacity. In its turn, the agreement of the methods under consideration in the question as to the dependence of the molecular distributions on the concentration of particles, apparently, will call for further refinement of the physical model of ideal gas and the techniques for its statistical description.展开更多
为研究空间故障网络(Space Fault Network,SFN)中故障模式的最终事件故障概率分布(Fault Probability Distribution of Target Event,TEFPD),在不同情况下确定分布特征,提出不同情况下的TEFPD确定方法。研究对象为单元故障演化过程和全...为研究空间故障网络(Space Fault Network,SFN)中故障模式的最终事件故障概率分布(Fault Probability Distribution of Target Event,TEFPD),在不同情况下确定分布特征,提出不同情况下的TEFPD确定方法。研究对象为单元故障演化过程和全事件诱发+最终事件过程两种。根据原因事件和结果事件的关系,分析方法分为比较形式方法和继承形式方法。根据故障模式中事件存在性,故障概率分布处理方式分为最大值方法和平均值方法。考虑多因素影响,将事件故障概率分布引入到分析中,得到各种情况下的TEFPD.通过一个简单故障模式得到TEFPD,最终总结各种方式得到的TEFPD的特征显著程度。展开更多
文摘The paper deals with the performing of a critical analysis of the problems arising in matching the classical models of the statistical and phenomenological thermodynamics. The performed analysis shows that some concepts of the statistical and phenomenological methods of describing the classical systems do not quite correlate with each other. Particularly, in these methods various caloric ideal gas equations of state are employed, while the possibility existing in the thermodynamic cyclic processes to obtain the same distributions both due to a change of the particle concentration and owing to a change of temperature is not allowed for in the statistical methods. The above-mentioned difference of the equations of state is cleared away when using in the statistical functions corresponding to the canonical Gibbs equations instead of the Planck’s constant a new scale factor that depends on the parameters of a system and coincides with the Planck’s constant in going of the system to the degenerate state. Under such an approach, the statistical entropy is transformed into one of the forms of heat capacity. In its turn, the agreement of the methods under consideration in the question as to the dependence of the molecular distributions on the concentration of particles, apparently, will call for further refinement of the physical model of ideal gas and the techniques for its statistical description.
文摘为研究空间故障网络(Space Fault Network,SFN)中故障模式的最终事件故障概率分布(Fault Probability Distribution of Target Event,TEFPD),在不同情况下确定分布特征,提出不同情况下的TEFPD确定方法。研究对象为单元故障演化过程和全事件诱发+最终事件过程两种。根据原因事件和结果事件的关系,分析方法分为比较形式方法和继承形式方法。根据故障模式中事件存在性,故障概率分布处理方式分为最大值方法和平均值方法。考虑多因素影响,将事件故障概率分布引入到分析中,得到各种情况下的TEFPD.通过一个简单故障模式得到TEFPD,最终总结各种方式得到的TEFPD的特征显著程度。
