This invention relates to the field of
reliability engineering technology, specifically to a method and
system for allocating certainty reliability indicators for an electrically driven turnout tamping
machine based on a material-energy-information network. The method first performs
functional decomposition and performance analysis of the entire
machine, extracting key performance parameters of each subsystem and constructing performance margins. Based on certainty
reliability theory, it determines the material-related reliability. Secondly, it establishes energy and
information networks through the
electric traction power supply relationship and the
telemetry and control link, respectively, calculating the energy-related reliability and information-related reliability of each subsystem, and combining these three to obtain the subsystem functional reliability. Based on this, the
system reliability is expressed as the minimum value of the subsystem functional reliability.
System reliability interval constraints and performance margin mean and variance constraints are introduced to construct an optimization model with causal importance-weighted subsystem functional reliability as the objective function. An intelligent optimization
algorithm is used to solve for the reliability indicators and margin allocation of each subsystem. This method can achieve refined and quantitative allocation of reliability indicators for each subsystem of an electrically driven turnout tamping
machine under
small sample and uncertain conditions, improving the reliability and safety of the entire machine under complex operating conditions.