Multi-modal process fault detection method and system based on vine copula correlation description

A fault detection and correlation technology, applied in general control systems, control/regulation systems, simulators, etc., to solve problems such as the complexity of the parameter optimization process
CN104914775AInactive Publication Date: 2015-09-16EAST CHINA UNIV OF SCI & TECH
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Patent Information

Authority / Receiving Office
CN · China
Current Assignee / Owner
EAST CHINA UNIV OF SCI & TECH
Publication Date
2015-09-16
Estimated Expiration
Not applicable · inactive patent

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Abstract

The invention discloses a multi-modal process fault detection method and system based on vine copula correlation description. The detection method comprises the following steps: obtaining a training sample set of normal data under different modals according to expert knowledge or adopting a clustering method; carrying out correlation modeling by utilizing C-vine copula and obtaining a joint probability density function of each modal; carrying out sampling on the joint probability density functions of different modals by utilizing a Markov Monte Carlo method and calculating the value of the joint probability density function of each sample; determining discretization step length l according to control limits and establishing a static density quantile table of the process by utilizing a density quantile method; estimating general local probability index PL<k> (Xt<monitor>), under the modal k, of monitoring data Xt<monitor> at the moment t by searching the table; and calculating BIP index by adopting Bayesian reasoning, and judging whether the index is beyond the limit so as to achieve real-time process monitoring.
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Description

technical field

[0001] The invention belongs to the technical field of fault detection, relates to a fault detection method, in particular to a multi-modal process fault detection method based on vine copula correlation description; at the same time, the invention also relates to a multi-modal process fault detection method based on vine copula correlation description Modal Process Fault Detection System. Background technique

[0002] With the rapid development of society, people's demand for chemical products has greatly improved both in terms of quality and quantity, which promotes the development of chemical production processes in the direction of large-scale, comprehensive and complex. However, with the rapid growth and diversified development of the chemical industry, chemical production is facing the challenge of a weak safety foundation. Chemical production usually has the characteristics of high temperature and high pressure, poisonous and harmful, flammable and ex...

Claims

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