scholarly journals A Development of Remote Diagnosis System for Growth Status of Plants

2003 ◽  
Vol 12 (3) ◽  
pp. 201-211 ◽  
Author(s):  
Hiroshi Shono
Keyword(s):  
Remote Diagnosis ◽  
Diagnosis System ◽  
Growth Status

scholarly journals Remote Diagnosis System for Diseases and Pests II. Specification of a region of interest

1998 ◽  
Vol 7 (1) ◽  
pp. 13-20
Author(s):  
Nobukazu Iguchi ◽  
Fumitaka Uchio ◽  
Takaharu Kameoka
Keyword(s):  
Region Of Interest ◽  
Remote Diagnosis ◽  
Diagnosis System

Study on XML-Based Apriori Algorithm Applying to Remote Diagnosis System for Hoist

2011 ◽  
Vol 201-203 ◽  
pp. 510-513
Author(s):  
Juan Li Li ◽  
Zhao Jian Yang
Keyword(s):  
Fault Diagnosis ◽  
Apriori Algorithm ◽  
Remote Diagnosis ◽  
Diagnosis System ◽  
Operation Process ◽  
Fault Diagnosis System ◽  
Remote Fault Diagnosis

According to the data characteristics in the hoister operation process and the network requirements of fault diagnosis system, this paper proposes a XML-based apriori algorithm, and the algorithm is applied to hoist remote fault diagnosis system. The experiment result shows that applying the system can make the hoist fault diagnosis more scientific, reasonable and improve the efficiency and accuracy of diagnosis.

Intelligent Diagnosis and Maintenance

2010 ◽  
pp. 301-328
Author(s):  
Zude Zhou ◽  
Huaiqing Wang ◽  
Ping Lou
Keyword(s):  
Complex System ◽  
Remote Diagnosis ◽  
Diagnosis System ◽  
Intelligent Diagnosis ◽  
Agent Based ◽  
Intelligent Maintenance ◽  
Multiple Devices ◽  
Multi Agent ◽  
Intelligent Technology ◽  
High Level

Nowadays, intelligent diagnosis for the complex system has been a forefront of issue. The application of the artificial-intelligent technology has made the dream of using men’s knowledge to diagnose the complex system, and improves it up to a new grade. Traditional diagnosis is up to technical engineer experience to estimate equipment’s status, and make a judgment; this way has many limitations and little efficiency, with the increase of complexness of the equipment, there have to get some more effective methods. In 1980s, some experts have researched on the diagnosis system using intelligent technology. With the development of computer and network technology, intelligent technology has better support platform. Experts have researched on different branches of diagnosis technology and used these ideas into diagnosis system (Wu J.P. & Xiao J.G., 1997). As the developing of Internet, all equipments have been cyber and connected to network. More and more system is consists of multiple devices and have the characteristic of the distribution. In this case, remote diagnosis system gets more attentions because of its unmatched benefits. In the remote diagnosis system, the technology of multiple agent or called multi-agent often be used to resolve difficult diagnosis problems. Intelligent diagnosis is the develop trend that could perform intelligent maintenance in a high level of efficiency. Researching on intelligent diagnosis and applying it have significant meaning. Definition and development of diagnosis is introduced in this chapter firstly, which including different branch and fussing with other area. The advantage and shortage of different technology also be introduced. Then the remote diagnosis on network is discussed. The theory and development of Multi-agent based remote diagnosis technology is also presented. The trend and scene is been bring on finally.

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