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Penicillin fermentation process fault monitoring method based on reconstruction discriminatory analysis

A technology for penicillin fermentation and fault monitoring, which is applied in special data processing applications, instruments, electrical digital data processing, etc., and can solve problems such as difficult identification of faults

Inactive Publication Date: 2014-04-16
NORTHEASTERN UNIV
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  • Abstract
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Problems solved by technology

Although principal component analysis is well established for fault detection, it is still very difficult to identify faults that affect multiple sensors

Method used

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  • Penicillin fermentation process fault monitoring method based on reconstruction discriminatory analysis
  • Penicillin fermentation process fault monitoring method based on reconstruction discriminatory analysis
  • Penicillin fermentation process fault monitoring method based on reconstruction discriminatory analysis

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Embodiment Construction

[0085] An embodiment of the present invention will be further described below in conjunction with the accompanying drawings.

[0086] In the embodiment of the present invention, the penicillin fermentation process is a metabolic activity in which penicillin-producing bacteria grow and synthesize antibiotics under suitable fermentation conditions such as medium, pH value, temperature, air flow, and stirring. figure 1 It is a schematic diagram of the fermentation process of penicillin production, in which the controlled variables include the pH value and temperature of the fermenter, which are controlled at a certain value by manipulating the variables: acid, alkali flow, cold and hot water flow, mainly using the controller FC Control the opening of acid and alkali flow and cold and hot water valves to adjust pH and temperature. During the fermentation of penicillin, the temperature and pH value are controlled by closed-loop control, while the feed is controlled by open-loop fix...

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Abstract

The invention provides a penicillin fermentation process fault monitoring method based on reconstruction discriminatory analysis and belongs to the field of fault monitoring and diagnostic technologies. The method includes the steps of analyzing the correlation between normal data and fault data to obtain the direction of a fault having greatest influences on normal conditions, eliminating the fault in the data according to the contribution direction of the fault, namely, restoring an industrial condition model to the normal condition, recognizing the type of the fault, and restoring an actual working condition to the normal condition through actual fault solving measures. According to the method, the correlation between the fault and the normal condition is analyzed, so that the monitoring accuracy is greatly improved, safety guarantees are enhanced for the complex industrial process, losses are reduced and the product quality is improved.

Description

technical field [0001] The invention belongs to the technical field of fault monitoring and diagnosis, and in particular relates to a fault monitoring method in a penicillin fermentation process based on reconstruction recognition analysis. Background technique [0002] There are potential dangerous factors in the industrial production process. Under certain conditions, these risk factors make the production process fail, and even cause accidents, production disruption, unsafe life, serious environmental pollution and large economic losses. This puts forward higher requirements for the monitoring and diagnosis of the production process. Due to the uncertainty and complex process in the actual industrial production process, generally including nonlinear, time-varying, variable coupling, time correlation, multi-mode, multi-cycle, large-scale and intermittent characteristics, it is difficult to establish accurate process model. To avoid the above problems, data-driven and kn...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F19/00
Inventor 张颖伟汤楠冯玮
Owner NORTHEASTERN UNIV
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