公开(公告)号：US20170146433A1

公开(公告)日：2017-05-25

申请号：US15009241

申请日：2016-01-28

Applicant: Northeastern University

Inventor： Yingwei ZHANG ,  Wenyou DU ,  Yunpeng FAN ,  Qilong JIA ,  Shitao LIU ,  Xu YANG

IPC: G01M99/00

CPC classification number: G05B23/0281

Abstract: Provided is a fault isolation method in industrial process based on regularization framework, including the steps of: collecting and filtering sample data in industrial process to obtain an available sample data set; establishing an objective function for fault isolation in industrial process with local and global regularization items; calculating the optimal solution to the objective function for fault isolation in industrial process by the available sample data set; obtaining a predicted classification label matrix according to the optimal solution to determine the fault information in the process. The method uses the local regularization item to make the nature of the optimal solution ideal, and uses the global regularization item to correct problem of low fault isolation precision caused by the local regularization item. Experiments show that the method is not only feasible but also provides high fault isolation precision and mining the potential information of labeled sample data.