Reliability Analysis Method of Mechanical System for Mixed Uncertainty Considering Remote Data Sensing System

Reliability analysis method of mechanical system for mixed uncertainty considering remote data sensing system is designed and implemented in the paper. With the increasingly complex structure and working environment of mechanical products, the correct evaluation of the reliability of mechanical systems has important practical significance for product quality evaluation and life cycle management, hence, inspired by this, the remote data sensing model is combined. For a general mechanical system, the core design features of its components can be divided into two categories: prototype connectors and prototype components, which are used as design features in the early design stage to represent the abstraction related to product description. With the remote data analyzed, the example results show that the time-varying reliability analysis method proposed in this paper can effectively reduce the calculation cost on the premise of ensuring the accuracy of the analysis results and has better calculation accuracy and efficiency.