农机诊断中故障树最小割集的微机实现
Microcomputer Implementation of Minimizing Cut Sets of Fault Trees in Agricultural Machinery Diagnosis
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摘要: 利用数据库技术,将农机诊断中故障树状结构变为数据库结构。方法上全部采用数据处理,避开非线性运算,由微机直接求取故障树最小割集。算法思路清晰,程序实现简洁,易于操作和掌握,并能节省计算机内存,大大提高计算速度。Abstract: The Paper presents a new algorithm for minimizing cut sets of fault trees of agricultural machinery diagnosis by microcomputer directly. In this algorithm,the data base technique is used. The structure of fault tree is transformed into the structure of date base, applying the data processing technique, the non-linear calculation is replaced by linear one, thus the computer' s internal storage is saved and the calculation speed is increased. The design and program implementation of the algorithm are clear. It can be mastered and operated easily.