Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

On-line estimation of concentration parameters in fermentation processes.

Zhi-hua Xiong1, Guo-hong Huang, Hui-he Shao

  • 1Institute of Automation, Shanghai Jiaotong University, Shanghai 200030, China. zhxiong@sjtu.edu.cn

Journal of Zhejiang University. Science. B
|May 24, 2005
PubMed
Summary

This study introduces a novel software sensor using Gaussian processes and expectation maximization to improve fermentation control. This advanced technique enhances biological system performance through effective on-line monitoring and optimization.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Perceived cognitive impairment in patients newly diagnosed with lung cancer: a cross-sectional study.

Respiratory medicine·2026
Same author

[The Role of Matrix Metalloproteinase-13 in Multiple Myeloma].

Zhongguo shi yan xue ye xue za zhi·2025
Same author

Study on mNGS Technique in Diagnosing <i>Pneumocystis jirovecii</i> Pneumonia in Non-HIV-Infected Patients.

Infection and drug resistance·2024
Same author

Raman Spectra of Bredigite at High Temperature and High Pressure.

Guang pu xue yu guang pu fen xi = Guang pu·2018
Same author

[Non-Invasive Detection of Blood Glucose Concentration Based on Photoacoustic Spectroscopy Combined with Principle Component Regression Method].

Guang pu xue yu guang pu fen xi = Guang pu·2018
Same author

An outbreak following importation of wild poliovirus in Xinjiang Uyghur Autonomous Region, China, 2011.

BMC infectious diseases·2015

Area of Science:

  • Biotechnology and Biochemical Engineering
  • Process Control and Automation
  • Computational Modeling and Simulation

Background:

  • Bioprocesses present significant engineering challenges due to complex dynamics and measurement difficulties.
  • Existing measurements in bioprocesses are often underutilized, limiting process control effectiveness.
  • Accurate state estimation is crucial for optimizing fermentation processes.

Purpose of the Study:

  • To propose a novel software sensor for enhanced fermentation process control.
  • To effectively utilize existing measurements for improved process management.
  • To demonstrate a powerful technique for on-line monitoring and optimization of biological systems.

Main Methods:

  • Development of a software sensor based on mixtures of Gaussian processes (GP).

Related Experiment Videos

  • Application of the expectation maximization (EM) algorithm for parameter estimation of mixture models.
  • Utilizing local models for specific operating points and combining them into a global model.

    • Main Results:

    • The proposed mixture model alleviates computational complexity associated with standard Gaussian processes.
    • The method effectively adapts to changing operating conditions in fermentation processes.
    • Demonstrated successful on-line estimation of yeast concentration in an industrial fermentation setting.

    Conclusions:

    • Software sensor-based state estimation is a powerful technique for biological systems.
    • The proposed method significantly enhances automatic control performance.
    • Enables effective on-line monitoring and optimization of fermentation processes.