Development of GIS condition monitoring and diagnosis system based on IEC61850

2012 ◽  
Author(s):  
Deok-Cheol Kim ◽  
Dae-Kwon Kang ◽  
Duck-Ki Seo ◽  
Yong-Moo Chang
Keyword(s):  
Condition Monitoring ◽  
Diagnosis System ◽  
Monitoring And Diagnosis

Remote Condition Monitoring and Diagnosis Technology for Rotating Tower of Continuous Casting Machine

2012 ◽  
Vol 462 ◽  
pp. 850-854
Author(s):  
Quan Sheng Jiang ◽  
Hua Rong Li
Keyword(s):  
Continuous Casting ◽  
Condition Monitoring ◽  
Continuous Casting Machine ◽  
Casting Machine ◽  
Diagnostic Technique ◽  
Reliable Operation ◽  
Diagnosis System ◽  
Monitoring And Diagnosis ◽  
Steel Making ◽  
Key Techniques

To meet the requirement of condition monitoring and fault diagnosis for the rotating tower of continuous casting machine (RTCCM) in a steel-making plant, the technology of remote monitoring and diagnosis system (RMDS) for RTCCM is developed in the paper. The architecture of the system is presented, and the key techniques in the system implementation are discussed in detail, including the B/S structure, Java technique and Web diagnostic technique. The developed RMDS can implement truly portability and provide a good solution for designing a remote diagnosis system based on network environment. The outcome of locale running indicates that the system possesses complete function with reliable operation and friendly consumer interface.

scholarly journals Equipment Condition Monitoring and Diagnosis System Based on Evidence Weight

2018 ◽  
Vol 14 (02) ◽  
pp. 143 ◽  
Author(s):  
Xuemei Yao ◽  
Shaobo Li ◽  
Ansi Zhang
Keyword(s):  
Condition Monitoring ◽  
Fusion Rule ◽  
Original Data ◽  
Prototype System ◽  
Centrifugal Pumps ◽  
Fusion Algorithm ◽  
Diagnosis System ◽  
Monitoring And Diagnosis ◽  
Safety And Reliability ◽  
Basic Probability

To ensure the safety and reliability of equipment and effectively prevent the occurrence of major accidents, a monitoring and diagnosis system of equipment condition is proposed in this paper. First, a perceptual model of four layers, which can collect the original data of equipment by sensors and analyze the real-time information with intelligent algorithms and display the decision making on the screen, is designed. Second, a method of condition monitoring and diagnosis based on evidence weight is proposed. The basic probability assignment of evidence is corrected by Mahalanobis distance and sensor weight. A threshold is introduced to select the appropriate fusion rule by comparing the relationship between threshold and conflict factor. In order to verify the effectiveness and practicability of the method, the improved fusion algorithm is applied to the monitoring and diagnosis of centrifugal pumps. Finally, a prototype system is implemented to illustrate the validity of the system in practice.

An On-line Condition Monitoring and Diagnosis System for Feed Rolls in the Plate Mill

1999 ◽  
Vol 124 (1) ◽  
pp. 52-57 ◽  
Author(s):  
J. J. Jeng ◽  
C. Y. Wei
Keyword(s):  
Condition Monitoring ◽  
Production Line ◽  
Plate Mill ◽  
Vibration Signals ◽  
Diagnosis System ◽  
Monitoring And Diagnosis ◽  
On Line ◽  
Bearing Vibration ◽  
Line Condition

An on-line condition monitoring and diagnosis system for feed rolls was developed for providing early warnings of malfunctions so as to avoid great losses resulting from unexpected shutdown of the production line. This system measures the bearing vibration signals on-line and judges the feed roll condition automatically according to the diagnosis rules stored in the computer. These rules were established based on results of long-term vibration measurements and proved by many real cases to be very effective and reliable. The derivation of these diagnosis rules and the development of the on-line monitoring and diagnosis system based on these rules are depicted in this article.

Design about Monitoring and Diagnosis System Structure of Rotating Machinery Based on LabVIEW

2011 ◽  
Vol 383-390 ◽  
pp. 1792-1796 ◽  
Author(s):  
Yan Jun Lu ◽  
Ying Liu
Keyword(s):  
Condition Monitoring ◽  
Virtual Instrument ◽  
Rotating Machinery ◽  
System Structure ◽  
Diagnosis System ◽  
Main Research ◽  
Object A ◽  
Monitoring And Diagnosis ◽  
Machinery Condition Monitoring ◽  
High Degree

Rotating machinery becomes more and more large and complex, increasingly high degree of automation. Rotating machinery fault could easily lead to heavy losses. Therefore, the requirements of monitoring and diagnosis systems are increasing high. In this paper, the superiority of the application of virtual instrument on condition monitoring and diagnosis system building in the industrial production is described. And then, the rotor system as the main research object, a rotating machinery condition monitoring and diagnosis system is built by using Virtual Instrument technology. At the same time, the structure of the condition monitoring and diagnosis system is discussed. Besides, data acquisition process and fault features recognition method are discussed as well. Finally, the correctness and accuracy of fault detection are verified by means of experiments.

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