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.

Abstract: A fault detector for operating process of electric arc furnace and method thereof are disclosed, which belong to the technical field of fault detection. The fault detector includes the temperature signal acquisition equipment, the current signal acquisition equipment and a host computer. The multimode fault monitoring and diagnosis method comprises the following steps: acquiring and standardizing the data; establishing the preliminary monitoring model for the operating process to obtain common subsets of M operating modes and typical subsets of every operating mode; calculating the T2 statistics and the SPE statistics, and monitoring and diagnosing fault in the operating process. The present invention has the advantages that the colorimetric temperature measurement can improve the calculation accuracy, different equipment becomes compatible, and the fault detector is suitable for operating in industrial production process with a variety of steady modes and can diagnose faults in a certain operating mode.

Abstract: A fault detector for operating process of electric arc furnace and method thereof are disclosed, which belong to the technical field of fault detection. The fault detector includes the temperature signal acquisition equipment, the current signal acquisition equipment and a host computer. The multimode fault monitoring and diagnosis method comprises the following steps: acquiring and standardizing the data; establishing the preliminary monitoring model for the operating process to obtain common subsets of M operating modes and typical subsets of every operating mode; calculating the T2 statistics and the SPE statistics, and monitoring and diagnosing fault in the operating process. The present invention has the advantages that the colorimetric temperature measurement can improve the calculation accuracy, different equipment becomes compatible, and the fault detector is suitable for operating in industrial production process with a variety of steady modes and can diagnose faults in a certain operating mode.