首页|General Diagnostic Framework Based on Non-axiomatic Logic for Aviation Safety Event Analysis
General Diagnostic Framework Based on Non-axiomatic Logic for Aviation Safety Event Analysis
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原文链接
NETL
NSTL
万方数据
维普
To achieve causality reasoning of aviation safety events based on big data of cross-media network,a data-driven general diagnostic framework based on non-axiomatic logic is designed and implemented.On the basis of this framework,the uncertain causality between aviation safety events and faults is expressed in the form of binary non-axiomatic incident experience at first.A general expression for calculating the attribution and confidence degrees in the non-axiomatic incident experience is given based on records of aviation safety historical incident.A concept of non-axiomatic incident experience graph is proposed,a diagnosis algorithm for aviation safety events is given with the combination of revision and deduction rules in non-axiomatic logic.Experimental results of a Version 1.0 beta demo show that this framework can effectively diagnose all potential faults according to aviation safety events;compared with other machine learning frameworks,it has higher reliability (especially scalability) under the premise of ensuring diagnosis accuracy.
NETL
NSTL
万方数据
维普
