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Abstract：
Modern concepts in irreversible thermodynamics are applied to system transformation and degradation analyses. Phenomenological entropy generation (PEG) theorem is combined with the Degradation-Entropy Generation (DEG) theorem for instantaneous multi-disciplinary, multi-scale, multi-component system characterization. A transformation-PEG theorem and space materialize with system and process defining elements and dimensions. The near-100% accurate, consistent results and features in recent publications demonstrating and applying the new TPEG methods to frictional wear, grease aging, electrochemical power system cycling-including lithium-ion battery thermal runaway-metal fatigue loading and pump flow are collated herein, demonstrating the practicality of the new and universal PEG theorem and the predictive power of models that combine and utilize both theorems. The methodology is useful for design, analysis, prognostics, diagnostics, maintenance and optimization.
摘要：
不可逆热力学中的现代概念应用于系统转换和退化分析。现象学熵产生（PEG）定理与退化熵产生（DEG）定理相结合，用于瞬时多学科，多尺度,多组分系统表征。转换PEG定理和空间实现了系统和过程定义的元素和维度。接近100%准确，最近的出版物中一致的结果和特征证明了新的TPEG方法并将其应用于摩擦磨损，润滑脂老化，电化学电源系统循环-包括锂离子电池热失控-金属疲劳载荷和泵流量在本文中进行了整理，证明了新的通用PEG定理的实用性以及结合和利用这两个定理的模型的预测能力。该方法对设计很有用，分析,预测,诊断,维护和优化。
