Prognosis of gas turbine remaining useful life using particle filter approach

2019 ◽  
Vol 50 (3) ◽  
pp. 336-345 ◽  
Author(s):  
S. Ahsan ◽  
T.A. Lemma ◽  
M. Muhammad
2014 ◽  
Vol 981 ◽  
pp. 86-89 ◽  
Author(s):  
Min Li ◽  
Jiong Jiong Zhu ◽  
Bin Long

With the increasingly widespread application, the requirement for PHM of IGBT is becoming gradually urgent. Based on particle filter theory, a method for remaining useful life (RUL) prediction of IGBT is proposed. Firstly, the deterioration parameters on-state VCE and ICE are extracted by temperature cycling test, then a model is developed based on the degradation trend exhibited by deterioration parameters. In the end, PF approach is applied to the IGBT's RUL prediction with the mentioned model. The results show that the proposed prediction method can achieve high prediction accuracy.


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