Batch process weak fault model control limit establishment method and weak fault monitoring method

A technology for model control and establishment of methods, applied in general control systems, control/regulation systems, testing/monitoring control systems, etc., and can solve problems such as weak fault monitoring, large fluctuations in initial conditions, and complex algorithms

Inactive Publication Date: 2016-05-25
LIAONING UNIVERSITY OF TECHNOLOGY
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] The invention designs and develops a method for establishing control limits of weak fault models in intermittent processes, which overcomes the defects in the prior art that the algorithm is complicated and it is difficult to detect weak faults in unequal-length processes, and solves weak faults under large fluctuations in initial conditions monitoring issues

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  • Batch process weak fault model control limit establishment method and weak fault monitoring method
  • Batch process weak fault model control limit establishment method and weak fault monitoring method
  • Batch process weak fault model control limit establishment method and weak fault monitoring method

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Embodiment Construction

[0067] The present invention will be further described in detail below in conjunction with the accompanying drawings, so that those skilled in the art can implement it with reference to the description.

[0068] Such as figure 1 As shown, the present invention provides a method for establishing a weak fault model occurring in the monitoring process, comprising the steps of:

[0069] Step 1. Collect data under normal working conditions.

[0070] Under normal working conditions, collect I batches of normal operation data i=1,...,I,K i Indicates the number of sampling points of the i-th batch, J is the number of variables collected, as shown in the attached figure 1 shown. That is, each variable in the i-th batch collects K i sampling points. If the number of sampling points in the first four batches is 400, 420, 420, 460 respectively, then K 1 =400, K 2 =420,K 3 =420,K 4 =460.

[0071] Step 2: Denoise each batch of data by variables using Donoho's threshold denoising...

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Abstract

The invention discloses a batch process weak fault monitoring model establishment method based on tendency turning points, comprising the following steps: 1, acquiring I batches of normal operating data; 2, sectioning the batch process; 3, extracting turning points by adopting a method based on the tendency turning point, and ranking the turning points according to the orthogonal distance; 4, checking the turning points extracted with variables among the batches; 5, aggregating the tendency turning points of all variables in the batches and verifying the truth or falsity; 6, constructing a time sequence augmented matrix by using a time lag expanded analysis data array, and performing PCA (Principal Component Analysis) on the time sequence augmented matrix; 7, clustering all established models according to the similarity of the load direction at each phase; and 8, calculating T2 and SPE (Synergistic Processing Element) statistics and a control limit of each type. The invention further provides a batch process weak fault monitoring method based on tendency turning points.

Description

technical field [0001] The invention relates to a method for monitoring a weak fault in an intermittent process, in particular to a method for establishing and monitoring a weak fault model in an intermittent process based on a turning point of a trend. Background technique [0002] With the rapid development of modern industry and science and technology, the structure of modern equipment is becoming more and more complex, and the scale of automation systems is also increasing, which greatly increases the possibility of system failure. Once it breaks down, it will not only lead to downtime and stop production, but also cause huge losses of personnel and property, resulting in catastrophic events. In order to improve the safety, reliability and effectiveness of industrial production process and control system, improve product quality and reduce cost, it is urgent to establish a process control monitoring system. The task of the process monitoring system is to supervise the o...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G05B23/02
CPCG05B23/0281
Inventor 王亚君周岐曹洪奎蔡希彪
Owner LIAONING UNIVERSITY OF TECHNOLOGY
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