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Design and Application of a Fault Detection Method Based on Adaptive Filters and Rotational Speed Estimation for an Electro-Hydrostatic Actuator
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[Comparison of two algorithms for development of design space-overlapping method and probability-based method].

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Zhongguo Zhong Yao Za Zhi = Zhongguo Zhongyao Zazhi = China Journal of Chinese Materia Medica
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Summary

The probability-based method offers superior reliability for design space calculation compared to the overlapping method, ensuring process indexes meet standards within acceptable probability thresholds.

Keywords:
Codonopsis Radixdesign spaceextraction processoverlapping methodprobability method

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Area of Science:

  • Pharmaceutical Sciences
  • Chemical Engineering
  • Process Chemistry

Background:

  • Design space calculation is crucial for process optimization and control in pharmaceutical manufacturing.
  • Traditional methods like the overlapping method have limitations in indicating process reliability.
  • The probability-based method offers a more robust approach by simulating experimental error.

Purpose of the Study:

  • To compare the overlapping method and the probability-based method for design space calculation.
  • To evaluate the influence of key parameters on the probability-based method's design space.
  • To recommend the most suitable method for robust design space determination.

Main Methods:

  • Utilized data from the extraction process of Codonopsis Radix as a case study.
  • Implemented the overlapping method and the probability-based method for design space calculation.
  • Investigated the impact of simulation number, step length, and probability threshold in the probability-based method.

Main Results:

  • The probability-based method, with 10,000 simulations and a 0.02 step length, yielded a satisfactory design space for Codonopsis Radix extraction.
  • The overlapping method is user-friendly but lacks reliability indicators for process evaluation.
  • The probability-based method, though complex, provides reliability assurance and avoids probability mutations at the design space edge.

Conclusions:

  • The probability-based method is recommended for design space calculation due to its ability to ensure process reliability.
  • Parameter optimization (simulation number, step length) is essential for effective application of the probability-based method.
  • This study highlights the advantages of probabilistic approaches in pharmaceutical process development and control.