Decentralized process monitoring method

A process monitoring, decentralized technology, applied in the direction of electrical testing/monitoring, which can solve problems such as difficult fault diagnosis, unsuitable faults, and weakened interpretability
CN101446831AInactive Publication Date: 2009-06-03NORTHEASTERN UNIV
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
NORTHEASTERN UNIV
Publication Date
2009-06-03
Estimated Expiration
Not applicable · inactive patent

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Abstract

The invention relates to a decentralized process monitoring method, which comprises the steps as follows: in step one, data is acquired; in step two, acquired data is processed through blocking partition; in step three, partitioned data is mapped to feature space; in step four, a systematic process is processed through modeling; and in step five, failure detection and identification are performed by utilizing principal component statistic T<2> of observed data and residual error statistic SPE of observed data. The decentralized process monitoring method has the advantages as follows: the method is suitable for a complex large-scale systematic process; the advantages of kernel partial least square method and blocking partial least square method can be achieved; the complexity of nonlinear process analysis is reduced at the same time; and the identification capability is enhanced.
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Description

technical field

[0001] The invention belongs to the technical field of fault detection, and in particular relates to a decentralized process monitoring method. Background technique

[0002] With the rapid development of computer and electronic measurement technology, most modern industrial processes have complete sensing and measuring devices, and a large amount of process data can be obtained online. Statistical analysis of these data can help operators discover process faults in time, thereby reducing downtime, optimizing equipment operation, and avoiding major accidents, which promotes the research on process monitoring methods based on data analysis. At the same time, traditional fault detection approaches are model-based, so to use these methods, a deep understanding of the process must first be carried out, while data-based methods do not need to use an analytical model of the process. At present, the most used methods of this type are principal component analysis (PC...

Claims

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