Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Fault Monitoring Method for Multidirectional Kica Batch Process Based on Independent Subspace

An independent subspace and fault monitoring technology, applied in program control, electrical test/monitoring, test/monitoring control system, etc., can solve problems such as insignificant monitoring effect and decreased monitoring rate

Active Publication Date: 2019-04-05
NORTHEASTERN UNIV LIAONING
View PDF4 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] Aiming at the problems that the traditional KICA directly analyzes the data in the prior art, the monitoring effect is not obvious or the monitoring rate drops. Multi-directional KICA Batch Process Fault Monitoring Method Based on Subspace

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Fault Monitoring Method for Multidirectional Kica Batch Process Based on Independent Subspace
  • Fault Monitoring Method for Multidirectional Kica Batch Process Based on Independent Subspace
  • Fault Monitoring Method for Multidirectional Kica Batch Process Based on Independent Subspace

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0122] The present invention will be further elaborated below in conjunction with the accompanying drawings of the description.

[0123] A kind of multi-directional KICA intermittent process fault monitoring method of independent subspace division of the present invention, comprises the following steps:

[0124] 1) Collect the 3D data X (I×J×K) of the intermittent process, apply multi-directional KICA, and expand the 3D data into 2D data in batches for processing;

[0125] 2) Carry out offline modeling of the two-dimensional data expanded by batches, add kernel techniques on the basis of ICA, map the nonlinear data to the high-dimensional feature space, and then perform linear processing in the high-dimensional space;

[0126] 3) Apply T 2 and SPE statistics to monitor the process online; summarize the fault information obtained from each sub-data, and calculate whether the statistics exceed the limit.

[0127] In step 1), such as figure 2 As shown, the three-dimensional pro...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention relates to a multi-directional KICA intermittent process fault monitoring method based on independent subspaces, which includes the following steps: collecting intermittent process three-dimensional data X (I×J×K), applying multi-directional KICA, and expanding the three-dimensional data into batches Two-dimensional data is processed; where I is the number of batches, J is the number of variables, and K is the number of sampling points; offline modeling is performed on the two-dimensional data expanded by batches, and kernel techniques are added on the basis of ICA to convert nonlinear The data is mapped to a high-dimensional feature space, and then linearly processed in the high-dimensional space; applying T 2 Monitor the process online with SPE statistics; summarize the fault information obtained from each sub-data and calculate whether the statistics exceed the limit. The present invention improves the traditional KICA overall processing method, divides the initial data into multiple subspaces for detailed KICA analysis, establishes multi-model KICA simultaneous monitoring, amplifies hidden information, effectively grasps local information, and improves the fault monitoring rate.

Description

technical field [0001] The invention relates to the technical field of fault detection and diagnosis, in particular to a multi-directional KICA intermittent process fault monitoring method based on independent subspaces. Background technique [0002] ICA (Independent Component Correlation Algorithm, Independent Component Analysis) provides a method to solve the non-Gaussian data in the industrial production process, which improves the accuracy and universality of fault monitoring. The batch process is different from the ordinary process and has the characteristics of multiple batches, but there is no obvious distinction between the batches, and the time of each batch is not fixed. The production rate and production status of the batch process change irregularly. This kind of production situation makes it very difficult for workers to deal with, so it is hoped to reduce this irregular change, make the production process as regular as possible, and the monitoring of intermitt...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Patents(China)
IPC IPC(8): G05B23/02
CPCG05B23/0243G05B2219/24065
Inventor 张颖伟杨克旺刘俊梁
Owner NORTHEASTERN UNIV LIAONING
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com