based on principal component analysis(pca) and fuzzy model, a simple and efficient approach to monitor the fed batch streptomycin fermentation is presented.
基于主元分析和模糊模型,提出了一种简单而有效的链霉素发酵过程产物浓度的预报方法。
a rule based identification system is developed for dividing streptomycin fermentation process into three phases. the…
建立规则基模式识别系统,将链霉素发酵过程分三个时期。
the advantage of proposed method over the traditional mpca is demonstrated on the industrial streptomycin fermentation process, and the smaller detection delay is also obtained.
通过对实际工业链霉素发酵过程数据的分析,表明文中所提出的方法与传统的多向主元分析方法相比,能够更早地发现故障,获得更好的监控性能。