An Adversarial Learning Approach for Machine Prognostic Health Management

Author(s):  
Yu Huang ◽  
Yufei Tang ◽  
James VanZwieten ◽  
Jianxun Liu ◽  
Xiaocong Xiao
2012 ◽  
Vol 236-237 ◽  
pp. 192-196
Author(s):  
Fang Bai ◽  
Wen Li Jin

Prognostic health-management of aero-engine’s fleet have features with multi-source and asynchronous. Cruise engine gas temperature (EGT) and Take-off EGT have always been the focus of evaluating gas performance and predicting the remaining life. The calculation method of EGT Margin was showed based on the introduction of the definition and classification of the EGT. It analyses not only the relationships between Cruise EGT and Take-off EGT but also each other’s main functions. Meanwhile, an instance was used to explain the disadvantages of using Cruise EGT to calculate life prognostics.


2020 ◽  
Vol 50 (4) ◽  
pp. 205-216
Author(s):  
Patryk Ciężak ◽  
Adam Rdzanek

AbstractThe article presents methods to monitor the actual state of aircraft’s airframe, in particular, the onset of corrosion. The greatest emphasis is put on the “Corrosion Prognostic Health Management” CPHM system. Authors discuss corrosion detection using NDT methods as well as the possibilities of forecasting methods for estimating the onset of corrosion basing on the data gathered by means corrosion sensors. Based on the results of the previous research and analyses, authors focus on monitoring the internal microclimate and the factors causing corrosion in the aspect of damage tolerance operation of the aircraft. The results of the preliminary studies giving credibility to the concepts of predicting corrosion onset in the aircraft structure are presented. Preliminary results of tests carried out in supervised flights are also presented. The final part of the article presents the concept of modernizing the corrosion field site in order to use it in hermetic and non-hermetic tests of aircraft spaces.


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