A Fault Monitoring Method for MKECA Fermentation Process Based on Extended Kernel Entropy Load Matrix
A load matrix and fermentation process technology, applied in the field of fault monitoring, can solve the problems of fault alarm time lag, large leakage alarm and false alarm, false alarm, etc., to improve the accuracy of the model, reduce the false alarm rate and the false alarm rate, The effect of failure monitoring time advance
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[0043] Penicillin (Penicillin, or transliteration Penicillin) is a widely used antibiotic, and its preparation process is a typical non-linear, multi-stage batch production process. PenSim2.0, a penicillin simulation platform developed by the Cinar team at Illinois State Institute of Technology in the United States, includes controlled variables, manipulated variables, and input and output variables, providing a standard platform for real-time monitoring of the penicillin production process.
[0044]In this experiment, the PenSim2.0 simulation platform was used to simulate the fermentation process of penicillin as the data source. The sampling interval was 1 h, and 10 process variables were selected, as shown in Table 1. A total of 32 batches of data were generated in the simulation, 30 batches of normal data were used to build the model, and the other 2 batches of fault data were used for testing to verify the effectiveness of the method. The types, amplitudes, start and end ...
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