导航

Acta Aeronautica et Astronautica Sinica

Previous Articles     Next Articles

Reliability Science Experiments

Rui Kang2   

  • Received:2024-12-06 Revised:2024-12-16 Online:2024-12-18 Published:2024-12-18

Abstract: This article reviews the development history of reliability testing and points out the historical limitations of the existing reli-ability research paradigm, which is "centered on the probability distribution of failure time." This paradigm is only applicable in situations with failure observation data and proves ineffective for the development of innovative products. Specifically, reliability indicators exhibit characteristics of small samples, dynamic behavior, and subjectivity, while quality characteristics are large-sample, static, and objective. Consequently, traditional reliability statistical testing has erroneously adopted proba-bility sampling acceptance methods from quality management. Moreover, accelerated life testing and accelerated degradation testing, due to their reliance on empirical acceleration models based on failure physics in micro dimensions, are not suitable for truly system-level products with function requirements. To address this, the necessity of reliability science experiments aimed at validating causal laws is analyzed from the perspective of reliability science principles. Reliability experiments are further defined as controlled experiments intended for the verification of opportunity causal laws between system margins and performance and its requirements. The connotations of reliability experiments, including the clarity of laws, black-box epistemology, and opportunity causality, are explored, and fundamental principles for reliability experimental methods—system integration, classification judgement, and optimization equilibrium—are proposed. Furthermore, a model-centered reliability spatiotemporal verification and testing system is established based on the principles of reliability experiments, demonstrating that this system is the only one through which the connotation of reliability characteristics can be derived while engineering demands are met. Finally, the scope of application for reliability scientific experiments is discussed, and developmental ideas for the reliability spatiotemporal verification and testing system are proposed.

Key words: reliability experiment, belief reliability, reliability science principles, reliability engineering, reliability testing

CLC Number: