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Study of Prediction Methods for Contamination in the Chlortetracycline Fermentation Process

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 690))

Abstract

During the chlortetracycline (CTC) fermentation process, if the fermenter is invaded by other harmful bacteria, the fermentation broth may be contaminated. Once this occurs, the broth must be discharged for preventing other schedules of fermentation production from contamination, otherwise it will waste more raw materials and bring great economical damage. In order to acquire some important comprehensive contamination feature information, an information fusion method is proposed in this paper based on Desert-Smarandache theory (DSmT), combining multiple process information that indirectly hints contamination. And experimental results based on field data show that the method can predict whether the process of CTC fermentation is contaminated, so if this method is applied into real fermentation production, the safety performance of production process will be improved.

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Acknowledgments

The research work was supported by Pucheng Zhengda Fujian Biochemical Co. Ltd. We also thank Charoen Pokphand Group for providing the industrial datasets offed-batch CTC fermentation process.

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Correspondence to Xiang-guang Chen .

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Tang, Lt. et al. (2018). Study of Prediction Methods for Contamination in the Chlortetracycline Fermentation Process. In: Qiao, F., Patnaik, S., Wang, J. (eds) Recent Developments in Mechatronics and Intelligent Robotics. ICMIR 2017. Advances in Intelligent Systems and Computing, vol 690. Springer, Cham. https://doi.org/10.1007/978-3-319-65978-7_14

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  • DOI: https://doi.org/10.1007/978-3-319-65978-7_14

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-65977-0

  • Online ISBN: 978-3-319-65978-7

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