基于贝叶斯信念网络的航空燃气涡轮发动机故障识别

Proceedings of the 1999 IEEE International Conference on Control Applications (Cat. No.99CH36328) Pub Date : 1999-08-22 DOI:10.1109/CCA.1999.806140

T.A. Mast, A. Reed, S. Yurkovich, M. Ashby, S. Adibhatla

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引用次数: 36

摘要

介绍了贝叶斯信念网络在航空燃气轮机发动机故障检测中的应用方法。首先，讨论了bbn的基本理论，然后讨论了该理论在特定发动机上的应用。重点分析了BBN系统故障的选择和运行区域的选择方法。然后以GE CFM56-7涡扇发动机为例说明了该方法。

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Bayesian belief networks for fault identification in aircraft gas turbine engines

Describes the methodology for usage of Bayesian belief networks (BBNs) in fault detection for aircraft gas turbine engines. First, the basic theory of BBNs is discussed, followed by a discussion on the application of this theory to a specific engine. In particular, the selection of faults and the means by which operating regions for the BBN system are chosen are analyzed. This methodology is then illustrated using the GE CFM56-7 turbofan engine as an example.

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Proceedings of the 1999 IEEE International Conference on Control Applications (Cat. No.99CH36328)

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