Research on the Optimal Selective Maintenance Strategy for Measurement and Control Equipment Based on Cost Control
o scientifically formulate maintenance strategies for measurement and control equipment within the task planning cycle,reduce the waste of redundant resources,increase the reliability of backup resources,ensure that task execution risks are controlla-ble,and promote the transformation of equipment maintenance resource allocation from expert experience to accurate calculation,this paper presents a selective maintenance strategy generation method for optimal measurement and control equipment based on genetic al-gorithm,its reliability is taken as constraint conditions,and the cost control as an optimization goal.The previous data from a certain type of measurement and control equipment are used to carry out the experiment,and verify the effectiveness and feasibility of the al-gorithm,which can be popularized in the space measurement and control system,it provides technical reserves for the subsequent sci-entific maintenance and repair resource allocation schemes in space launch sites.
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