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Troubleshooting CFM 56-3 Engines for the Boeing 737 Using CBR and Data-Mining

机译:使用CBR和Data-Mining来解决波音737的CFM 56-3发动机

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This paper describes the industrialisation of a software system to support fault diagnosis of the CFM 56 -3 aircraft engine. The system uses data-mining techniques known as induction and case based reasoning which exploit failure descriptions that are stored in a case base. A first prototype using the induction technique applied on an initial case base has been achieved. The paper presents the main characteristics of the CBR and induction techniques. The modelling of the engine failures and the process of feeding the case base are given next. The system is intended to be used by airline maintenance staff and CFMI specialists. A user friendly environment has been implemented to allow an optimum use of the system as a troubleshooting support.
机译:本文介绍了软件系统的工业化,支持CFM 56 -3飞机发动机的故障诊断。该系统使用称为感应的数据挖掘技术和基于案例的推理,其利用存储在案例基础中的故障描述。已经实现了使用在初始壳体基础上应用的感应技术的第一原型。本文介绍了CBR和诱导技术的主要特征。接下来给出了发动机故障的建模和馈送壳基础的过程。该系统旨在由航空维护人员和CFMI专家使用。已经实现了用户友好的环境,以允许系统作为故障排除支持。

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