On-line Statistical Process Monitoring and Fault Diagnosis in Batch Baker’s Yeast Fermentation
Despite the fact that many process variables are simultaneously monitored and stored in the industry, the analysis and interpretation of this abundant amount of interrelated data is rarely made. This study involves real time monitoring and fault diagnosis in batch baker’s yeast fermentation. A specific Real Time Statistical Process Analysis and Control program (RT-SPAC) was developed to monitor instantaneous reaction conditions. The air flow rate fed to the reactor; temperature, pH and dissolved oxygen concentration in a laboratory size fermenter were monitored and recorded by means of on-line sensors. Under control of the RT-SPAC program, twenty two batch baker’s yeast fermentation operations were carried out. In the first twenty of them, ordinary process was followed under previously defined nominal conditions. Historical data collected from these batches was then used for on-line dynamic PCA analysis in the course of the following two batches. The last two batches were implemented such that some deliberate faults (in temperature and pH) were introduced during the operation. The results indicated that the software was capable of capturing the process faults, and furthermore the possible causes of these faults were identified by contribution plots.
Dynamic PCA real time computing baker’s yeast fermentation fault diagnosis
Ridvan Berber Ilknur Atasoy Mehmet Yuceer
Department of Chemical Engineering,Faculty of Engineering,Ankara University,Ankara,06100,Turkey Department of Chemical Engineering,Faculty of Engineering,Inonu University,Malatya,44280,Turkey
国际会议
西安
英文
2007-08-15（万方平台首次上网日期，不代表论文的发表时间）