贝叶斯网络用因果关系图的形式表达变量间相互关系，实现复杂系统的故障模式和效应分析。
Variable correlation is expressed with consequence graph in Bayesian Networks (BN), analysis of failure mode and effect of complex system is realized.
本文阐述了基于部件模型的定性推理方法的基本思想和过程，并对系统行为的因果解释方法进行了分析。
This paper describes the main idea and process of qualitative reasoning based on component model, and analyses the causal interpretation methods of system behaviors.
主张运用经验法、因果法、归纳法、尝试法来进行系统分析。
Experience method, low of causality, inductive method and try-and-error method could be used in system analysis.
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