Bulk production process malfunction detection method based on multiple nucleus independent elements analyse

An independent meta-analysis, batch production technology, applied in the direction of analyzing materials, special data processing applications, comprehensive factory control, etc., can solve problems such as unsatisfactory performance

Inactive Publication Date: 2008-04-09
NORTHEASTERN UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

However, the method proposed above does not perform well in non-Gaussian industrial processes, such as fermentation processes.

Method used

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  • Bulk production process malfunction detection method based on multiple nucleus independent elements analyse
  • Bulk production process malfunction detection method based on multiple nucleus independent elements analyse
  • Bulk production process malfunction detection method based on multiple nucleus independent elements analyse

Examples

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Effect test

example 1

[0112] In this example, the MKICA method is applied to the monitoring of a well-known standard process—the fermentation of penicillin, as shown in Figure 2. The production process of penicillin has nonlinear characteristics. During the initial stages of penicillin fermentation, the necessary cellular material is placed in the fermenter. Add enzymes when the original enzymes are consumed by the microorganisms. Due to the influence of metabolic repressors, the low concentration of medium in the fermenter is an important guarantee for high fermentation rate. Glucose was continuously supplied at the start of fermentation. Introduce small changes to monitor how the penicillin fermentation process operates under fault conditions. The monitored variables are shown in Table 1. The duration of each batch was 400 hours, comprising a start phase of about 45 hours and a feedback phase of about 355 hours. Batches 1-14 are normal. There were faults in batches 15-30. In batch 15, a 10...

example 2

[0134] The method proposed by the present invention was applied to the data of the nosipeptide process. Nosiceptide is a bicyclic peptide antibiotic produced by Streptomyces. Its molecular formula is C 51 h 43 N 13 Q 12 S 6. Since Nosicapide can promote the growth of livestock and has no residue in livestock, it is mainly used as a feed additive. Some plants produce nosipeptide, which can be used as an additive. The production process of Nosicapide is a batch aerobic fermentation process which takes 96 hours. The process of cultivating the strains takes place in seed fermenters until the ferments reach the ripening stage. After reaching the ripening stage, the mature ferment is transferred to the final fermenter. The ferments in these fermenters are fermented in batch mode under normal conditions in order to optimize the synthesis of nosipeptide. During the fermentation process of nosipeptide, the online measurement variables include physical and chemical variables, ...

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Abstract

The present invention provides a fault detection method for batched production process based on analysis of multinuclear independent element, which comprises data collection, data processing, and a process makes use of analysis of a nuclear principle element for whitening of the data, makes use corrective ICA for extraction of an independent element and makes use of T2 and SPE statistics for detection of the faults. The present invention initially provides a detection method for the batched production process based on MKICA, realizes the detection of the complicated processes and can detect the faults earlier, thereby reducing the loss occurred in the industrial production processes.

Description

technical field [0001] The invention belongs to the technical field of fault diagnosis, in particular to a batch production process monitoring method based on MKICA (MultiwayKernel Independent Component Analysis). Background technique [0002] With the expansion of industrial scale and the increase of the number of products produced, more and more industrial fields are produced by mass production. Such as beer industry, monosodium glutamate industry and pharmaceutical industry and many other fields. Especially in the complex nonlinear industrial production process, the application of batch production method is more common. Since there are many factors that determine product quality in the nonlinear production process, the conditions are relatively strict, so changes in conditions will generally reduce the quality of the product, such as the fermentation process. The fermentation process is a very complex nonlinear process, and there are few reports on the optimization of p...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01N35/00G06F17/00
CPCY02P90/02
Inventor 张颖伟秦泗钊王婷
Owner NORTHEASTERN UNIV
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