Eureka AIR delivers breakthrough ideas for toughest innovation challenges, trusted by R&D personnel around the world.

On-line monitoring and fault diagnosis method of multi-working condition process for ultra-high-speed carton packaging machine in cigarette factory

A fault diagnosis, ultra-high-speed technology, applied in the direction of program control, electrical test/monitoring, test/monitoring control system, etc.

Active Publication Date: 2017-12-29
CHINA TOBACCO ZHEJIANG IND
View PDF7 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The characteristic variables such as the mean value, variance, and correlation relationship of the data between different stable operating conditions will have obvious changes, and the direct application of the PCA method for statistical modeling and online monitoring will generate a large number of false alarms or missed alarms

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
  • On-line monitoring and fault diagnosis method of multi-working condition process for ultra-high-speed carton packaging machine in cigarette factory
  • On-line monitoring and fault diagnosis method of multi-working condition process for ultra-high-speed carton packaging machine in cigarette factory
  • On-line monitoring and fault diagnosis method of multi-working condition process for ultra-high-speed carton packaging machine in cigarette factory

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0070] In order to better understand the technical solutions of the present invention, the implementation manners of the present invention will be further described below in conjunction with the accompanying drawings. During the cigarette packaging process, G.D’s ultra-high-speed packaging equipment consists of three parts: the small box packaging machine H1000, the small box film packaging machine W1000, and the carton packaging machine BV. This implementation is used for online monitoring and failure of the ultra-high-speed carton packaging machine BV diagnosis method. Carton Packing Machine BV is a high-speed automatic carton packing machine that can pack all kinds of cartons with different characteristics and hardness. The block diagram of the multi-working condition process online monitoring and fault diagnosis method of the ultra-high-speed carton packaging machine in the cigarette factory of the present invention is as follows: figure 1 As shown, the method is mainly d...

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 statistical modeling, online monitoring and fault diagnosis technology of a superspeed carton packaging machine BV of the Italian G.D company and discloses a cigarette factory superspeed carton packaging machine multi-condition process online monitoring and fault diagnosis method. According to the method, a stable condition and a transition condition of stability factor identification are calculated based on a slide time window in an offline mode, the stable condition is divided to form a plurality of stable condition data clusters by use of an adaptive k-means cluster method, and then a statistical monitoring model is established independently for each stable condition data cluster by use of a PCA method. During online monitoring, a condition type is determined according to a stability factor of data in a current slide time window, under the stable condition, real-time monitoring is carried out by use of one PCA monitoring model corresponding to a cluster with a minimum distance, when any one statistical amount exceeds a limit, a major process variable causing a fault is determined by use of a contribution graph method, and finally, an effective feasible method is provided for online monitoring and fault diagnosis of the superspeed carton packaging machine BV.

Description

technical field [0001] The invention relates to statistical modeling, on-line monitoring and fault diagnosis technology of an ultra-high-speed carton packaging machine BV of Italian G.D company in the cigarette packaging process. Background technique [0002] With the globalization of the tobacco industry, new laws and regulations, and major changes in the external environment in recent years, China Tobacco is facing increasingly severe competitive pressure and social pressure. Under the premise of ensuring product quality, effectively improving the intelligence level and efficient operation of equipment has become the focus of cigarette factories. Intelligent, that is, production equipment has the functions of perception, analysis, reasoning and decision-making; efficient operation, that is, consume less resources to produce more and better products within a specified time. The intelligence level and high-efficiency operation capability of cigarette factory equipment are i...

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
CPCG05B23/0224G05B2219/24048
Inventor 王伟赵春晖楼卫东张利宏李钰靓熊月宏戚振栋
Owner CHINA TOBACCO ZHEJIANG IND
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Eureka Blog
Learn More
PatSnap group products