Growth-phase Classification Using Wavelets in Fermentation Processes 被引量：1

Growth-phase Classification Using Wavelets in Fermentation Processes

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摘要 The wavelet transform is developed to identify the differentphases in a fermentation process. In this method, the wavelettransform modulus maxima are used to estimate the local maximumpoints of the second derivative of the growth curve in order toclassify the different phases of fermentation process. Moreover, themethod can effectively get rid of noise from the signal, making useof the different characters showed by signal and noise in the wavelettransform modulus maxima. Compared with neural network modeling, thepresented method needs less quantity of information and calculation.The results of experiments show that this method is effective. The wavelet transform is developed to identify the different phases in a fermentation process.In this method,the wavelet transform modulus maxima are used to estimate the local maximum points of the second derivative of the growth curve in order to classify the different phases of fermentation process.Moreover,the method can effectively get rid of noise from the signal,making use of the different chacters showed by signal and nose in the wavelet transform modulus maxima.Compared with neural network modeling,the presented method needs less quantity of information and calculation.The results of experiments show that this method is effective.

作者隋青美王正欧

机构地区 TheCollegeofControlScienceandEngineering

出处《Chinese Journal of Chemical Engineering》 SCIE EI CAS CSCD 2002年第3期363-366,共4页 中国化学工程学报（英文版）

基金 Supported by the Natural Science Foundation of Shandong Province(Q99B01).

关键词 wavelet transform FERMENTATION chassification 发酵过程小波生长相分类

分类号 TQ920 [轻工技术与工程—发酵工程]

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