A Hierarical Structure for On-Line Process Fault Diagnosis Based on Deep Qualitative Modelling

Author(s):  
Jie Zhang ◽  
Peter D. Roberts
2012 ◽  
Vol 546-547 ◽  
pp. 1024-1029
Author(s):  
Tong Wang ◽  
Xue Lin ◽  
Chun Fang Liu

According to the characteristics of the production measures process in oilfield , the algorithm based on iterative multi-PCA is presented. Building multi-PCA models based on diffident working conditions. The sensor data will be classified automatic through the weight to find the appropriate model for fault recognition. And adopting iterative algorithm to update the models for realizing on-line process monitoring. The simulation experiment shows that the method is effectiveness on fault diagnosis for oilfield's sensor equipment.


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