scholarly journals Research on rapier loom fault system based on cloud-side collaboration

PLoS ONE ◽  
2021 ◽  
Vol 16 (12) ◽  
pp. e0260888
Author(s):  
Yanjun Xiao ◽  
Kuan Wang ◽  
Weiling Liu ◽  
Kai Peng ◽  
Feng Wan
Keyword(s):  
Fault Diagnosis ◽  
Expert System ◽  
Fault System ◽  
Human Machine Interaction ◽  
Diagnosis System ◽  
Depth Study ◽  
Diagnosis Method ◽  
Fault Diagnosis System ◽  
Electrical Faults ◽  
Machine Interaction

The electrical control system of rapier weaving machines is susceptible to various disturbances during operation and is prone to failures. This will seriously affect the production and a fault diagnosis system is needed to reduce this effect. However, the existing popular fault diagnosis systems and methods need to be improved due to the limitations of rapier weaving machine process and electrical characteristics. Based on this, this paper presents an in-depth study of rapier loom fault diagnosis system and proposes a rapier loom fault diagnosis method combining edge expert system and cloud-based rough set and Bayesian network. By analyzing the process and fault characteristics of rapier loom, the electrical faults of rapier loom are classified into common faults and other faults according to the frequency of occurrence. An expert system is built in the field for edge computing based on knowledge fault diagnosis experience to diagnose common loom faults and reduce the computing pressure in the cloud. Collect loom fault data in the cloud, train loom fault diagnosis algorithms to diagnose other faults, and handle other faults diagnosed by the expert system. The effectiveness of loom fault diagnosis is verified by on-site operation and remote monitoring of the loom human-machine interaction system. Technical examples are provided for the research of loom fault diagnosis system.

scholarly journals Power transformer fault diagnosis system based on Internet of Things

2021 ◽  
Vol 2021 (1) ◽  
Author(s):  
Guoshi Wang ◽  
Ying Liu ◽  
Xiaowen Chen ◽  
Qing Yan ◽  
Haibin Sui ◽  
...  
Keyword(s):  
Fault Diagnosis ◽  
Internet Of Things ◽  
Power Transformer ◽  
Fault System ◽  
Ratio Method ◽  
Diagnosis System ◽  
Network Training ◽  
Fault Diagnosis System ◽  
Training Error ◽  
Transformer Fault

Abstract Transformer is the most important equipment in the power system. The research and development of fault diagnosis technology for Internet of Things equipment can effectively detect the operation status of equipment and eliminate hidden faults in time, which is conducive to reducing the incidence of accidents and improving people's life safety index. Objective To explore the utility of Internet of Things in power transformer fault diagnosis system. Methods A total of 30 groups of transformer fault samples were selected, and 10 groups were randomly selected for network training, and the rest samples were used for testing. The matter-element extension mathematical model of power transformer fault diagnosis was established, and the correlation function was improved according to the characteristics of three ratio method. Each group of power transformer was diagnosed for four months continuously, and the monitoring data and diagnosis were recorded and analyzed result. GPRS communication network is used to complete the communication between data acquisition terminal and monitoring terminal. According to the parameters of the database, the working state of the equipment is set, and various sensors are controlled by the instrument driver module to complete the diagnosis of transformer fault system. Results The detection success rate of the power transformer fault diagnosis system model established in this paper is as high as 95.6%, the training error is less than 0.0001, and it can correctly identify the fault types of the non training samples. It can be seen that the technical support of the Internet of Things is helpful to the upgrading and maintenance of the power transformer fault diagnosis system.

Remote Fault Diagnosis System of Ultrahigh Speed Grinding Based on Multi-Agent

2009 ◽  
Vol 76-78 ◽  
pp. 67-71
Author(s):  
Wan Shan Wang ◽  
Tian Biao Yu
Keyword(s):  
Fault Diagnosis ◽  
Theoretical Research ◽  
Case Based Reasoning ◽  
Diagnosis System ◽  
Knowledge Reasoning ◽  
Diagnosis Method ◽  
Multi Agent ◽  
Fault Diagnosis System ◽  
Set Up ◽  
Remote Fault Diagnosis

A remote fault diagnosis method for ultrahigh speeding grinding based on multi-agent is presented. The general faults of ultrahigh speed grinding are analyzed and diagnosis model based on multi-agent is established, the dialogue layer, problem decomposition layer, control layer and problem solving layer in the process of diagnosis are studied and the knowledge reasoning model of fault diagnosis is set up based case-based reasoning (CBR) combining rule-based reasoning (RBR). Based on theoretical research, a remote fault diagnosis system of ultrahigh speed grinding is developed. Results of the system running prove the theory is correctness and the technology is feasibility.

Design of Fault Diagnosis Expert System for Certain Type of Aircraft Electrical Power

2012 ◽  
Vol 466-467 ◽  
pp. 1186-1190
Author(s):  
Jun Bin Cao ◽  
Er Min Guo ◽  
Yan Li
Keyword(s):  
Fault Diagnosis ◽  
Expert System ◽  
Electrical Power ◽  
Fault Models ◽  
Electrical System ◽  
Diagnosis System ◽  
Fault Structure ◽  
Fault Diagnosis System ◽  
Fault Mechanism ◽  
Analytical Technology

In order to diagnose and exempt the fault of aircraft electrical system accurately and fast, on the basis of analyzing the lost mode and fault mechanism of certain aircraft electrical system, fault structure are built and structure are built and fault models are analyzed by adopting the analytical technology based on regular fault structure. Two induction mechanisms, namely directional and anti-directional inference are introduced and the component methods are studied based on the knowledge corpus of data corpus technique. The result shows the inference results of fault diagnosis system are in accordance to reality and improve the intelligentized level of fault diagnosis system for aircraft electrical power.

Fault Diagnosis System Based on Fuzzy Theory of Vehicle Air Conditioner

2013 ◽  
Vol 329 ◽  
pp. 324-328
Author(s):  
Ying Hui Wang ◽  
Shu Sheng Xiong ◽  
Wen Lang ◽  
Yi Tian Tang
Keyword(s):  
Fault Diagnosis ◽  
Fuzzy Theory ◽  
Air Conditioner ◽  
Diagnosis System ◽  
Diagnosis Method ◽  
Fault Diagnosis System

To maintain the vehicle air conditioner efficiently, a fault diagnosis system based on fuzzy theory is prospected in this paper. A fault diagnosis method based on fuzzy theory was given. And according to the method, a fault diagnosis program was written with labview. Experiments proved that the fault diagnosis program was stable and functional. The accuracy of this fault diagnosis system is more than 80%. The system can be used to diagnosed the malfunction of vehicle air conditioner efficiently and discover the potential fault in time, helping to eliminate hidden dangers.

Research and Implementation of an Expert System for Fault Diagnosis of Fan Based on Knowledge Rule

2011 ◽  
Vol 201-203 ◽  
pp. 1989-1992
Author(s):  
Lei Wang ◽  
Tian Zhong Sui ◽  
Yu Song ◽  
Hai Xiang Zhao ◽  
Bo Ran Zhuang
Keyword(s):  
Fault Diagnosis ◽  
Expert System ◽  
Knowledge Base ◽  
Relational Database ◽  
High Efficiency ◽  
Rule Based ◽  
Diagnosis System ◽  
Hybrid Reasoning ◽  
Fault Diagnosis System ◽  
And Function

An example of the rule-based expert system applied to the fan fault diagnosis is presented. The architecture and function of the fault diagnosis system are introduced. The expression of the fault diagnosis knowledge and the attribute of knowledge base based on the relational database have been studied. The hybrid reasoning technology was applied to the implementation of the diagnosis inference engine in the expert system. The presented fault diagnosis system is easy to modify the knowledge base with the experience accumulated in practice, and it has the advantages of expansibility, portability, concision, and high efficiency.

Fuzzy Diagnosis of Tapping Process Fault

2009 ◽  
Vol 626-627 ◽  
pp. 207-212 ◽  
Author(s):  
H.L. Xue ◽  
Le Wang ◽  
Xue Yong Chen ◽  
Gui Cheng Wang
Keyword(s):  
Experimental Study ◽  
Fault Diagnosis ◽  
Fuzzy Theory ◽  
Weight Matrix ◽  
Diagnosis System ◽  
Process Failure ◽  
Diagnosis Method ◽  
Fault Diagnosis System ◽  
Fuzzy Diagnosis ◽  
Types Of Faults

Based on analyzing the problem of tap worn and broken in the tapping process, the faults in tapping process are classified into four types: tap worn, chips jamming, uneven hardness of material and the tapping process failure; According to the fuzzy theory, this paper describes the torque characteristic of the four types of faults, ascertains the characteristic vector of fault, presents the weight matrix among faults, puts forward the judgment method of system faults and establishes the fuzzy fault diagnosis system in tapping process. The experimental study shows that the fuzzy diagnosis method can effectively identify the four types of faults in tapping process and guard against tap broken.

The Fault Diagnosis System Design Based on PMA

2012 ◽  
Vol 241-244 ◽  
pp. 304-307
Author(s):  
Ting Jun Li ◽  
Lei Gao ◽  
Zhi Yong Liu ◽  
Yu Ru Xu ◽  
Jin Xu
Keyword(s):  
Fault Diagnosis ◽  
Expert System ◽  
System Design ◽  
Support System ◽  
Diagnosis System ◽  
Fault Diagnosis System

Designed a sort of IETM fault diagnosis system based on PMA, which includes maintenance guiding pattern, fault auto-diagnosis pattern and tele-maintenance cooperative support system based on expert system. Enrich and strengthen fault diagnosis function of PMA and has a certain significance to broaden.

Study and Implementation of Fault Diagnostic Algorithms on Hydraulic Power Cart for Aircraft

2011 ◽  
Vol 383-390 ◽  
pp. 1536-1541
Author(s):  
Huai Bin Zhang ◽  
Hua Yang
Keyword(s):  
Fault Diagnosis ◽  
Expert System ◽  
Real Time ◽  
Time Analysis ◽  
Hydraulic Power ◽  
Diagnosis System ◽  
Diagnostic Algorithms ◽  
Real Time Analysis ◽  
Fault Diagnosis System ◽  
Fault Diagnostic

According to the lack of simple, backward and low precision in fault diagnosis on hydraulic power cart for aircraft, an efficient vehicle fault diagnosis system on hydraulic power cart for aircraft is developed based on embedded technology. This system can identify the cause of the faults quickly and accurately according to the data collected in the spot and real-time analysis using expert system, the results show it greatly improves the efficiency and accuracy of fault diagnosis on hydraulic power cart for aircraft.

Research on Fault Diagnosis System for Aircraft Hydraulic Power Carts Based on Fuzzy Diagnosis Theory

2012 ◽  
Vol 220-223 ◽  
pp. 607-610
Author(s):  
Wei Qiang Zhao ◽  
Yong Xian Liu ◽  
Mo Wu Lu
Keyword(s):  
Fault Diagnosis ◽  
High Reliability ◽  
Complex Structure ◽  
Hydraulic Power ◽  
Diagnosis System ◽  
Diagnosis Method ◽  
New Type ◽  
Fault Diagnosis System ◽  
Fault Mode ◽  
Fuzzy Diagnosis

Aircraft hydraulic power carts are important aviation support equipment. Because of their complex structure they have high failure rate. Therefore fault diagnosis system for hydraulic power carts is necessary to ensure high reliability and maintainability for hydraulic power carts. This paper presents a diagnosis method based on fuzzy diagnosis theory in the developing process of a new type of hydraulic power carts. The fault Symptom, critical value and fault causes are established based on the research of fault mode for hydraulic power carts. And also the mathematical model of fault diagnosis for hydraulic power carts is established based on fuzzy diagnosis theory. The practical test results and fault diagnosis instances show that with this fault diagnosis system fast fault diagnosis for hydraulic power carts was carried out successfully.

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