Incremental Gaussian Mixture Model for Time-varying Process Monitoring

2020 ◽  
Author(s):  
Qingyang Dai ◽  
Chunhui Zhao
Keyword(s):  
Gaussian Mixture Model ◽  
Mixture Model ◽  
Process Monitoring ◽  
Gaussian Mixture ◽  
Time Varying

scholarly journals Gaussian Mixture Model Based Damage Evaluation for Aircraft Structures

2021 ◽  
Keyword(s):  
Gaussian Mixture Model ◽  
Mixture Model ◽  
Probability Model ◽  
High Sensitivity ◽  
Gaussian Mixture ◽  
Guided Wave ◽  
Time Varying ◽  
Damage Evaluation ◽  
Significant Research ◽  
Structural Boundary

Abstract. The Guided Wave (GW) based Structural Health Monitoring (SHM) method is of significant research interest because of its wide monitoring range and high sensitivity. However, there are still many challenges in real engineering applications due to complex time-varying conditions, such as changes in temperature and humidity, random dynamic loads, and structural boundary conditions. In this paper, a Gaussian Mixture Model (GMM) is adopted to deal with these problems. Multi-dimensional GMM (MDGMM) is proposed to model the probability distribution of GW features under time-varying conditions. Furthermore, to measure the migration degree of MDGMM to reveal the crack propagation, research on migration indexes of the probability model is carried out. Finally, the validation in an aircraft fatigue test shows a good performance of the MDGMM.

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