Fault diagnosis for glutamic acid fermentation process using fuzzy clustering

It describes a method of fault diagnosis fuzzy clustering algorithm and implementation steps, fault diagnosis of glutamic acid fermentation process is to obtain prior knowledge and statistical knowledge, based on fuzzy clustering analysis to find fault symptom cluster centers, discrimination of the new fault signs using fuzzy pattern recognition method, in order to achieve process fault diagnosis purposes. In order to glutamic acid fermentation process contamination fault as an example, the methods to achieve multi-level fault diagnosis of the initial sample data clustering results, simulation results show that the different fault categories, the central value of fuzzy clustering is different, as a basis for the assessment of different fermentation process faults, the obtained results consistent with the actual situation. It is proved that the effectiveness of glutamic acid fermentation process fault diagnosis applications.