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Rule-based and case of remote ECG machine fault diagnosis expert system

Author: HuangXiYan
Tutor: ZhengZuoQing；SunWeiChi
School: Fudan University
Course: Software Engineering
Keywords: Troubleshooting Rule-based reasoning Case-Based Reasoning Expert System
CLC: TP182
Type: Master's thesis
Year: 2011
Downloads: 90
Quote: 0
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Abstract


Traditional medical equipment service mechanisms in terms of timeliness and cost is difficult to balance , but with the medical device information and network development, more and more medical devices are used for non-traditional medical units , such as primary health , personal and family . Expansion of the market in this regard , on the other hand, a higher service requirements . In recent years, labor costs increased year by year , simply by expanding the sales team of engineers to meet the service requirements, making the cost of business operations is greatly improved. Fault Diagnosis Expert System in a very wide field of application , the principle is to let the computer through the use of knowledge , reasoning through the machine fault diagnosis , in recent years has been widely used in computer-related fields. Troubleshooting section through the machine to replace the manual diagnosis , reducing operational costs , but also to promote the standardization of business service management . This paper builds a remote ECG machine fault diagnosis expert system, through the fault of the past record of the excavation to generate knowledge , and then use two kinds of rule-based and case-based reasoning integrated fault diagnosis . Thus make a diagnosis quickly and accurately while reducing user complexity , the use of the system can effectively reduce service costs, improve service standardization . First, a detailed analysis of the field of medical devices on the basis of the existing service mechanism , clear remote ECG machine fault diagnosis expert system development necessity . Followed by the introduction of the relevant core technology , and according to the remote service objects and ECG machine failure characteristics , select the appropriate technical solutions , in the collection of relevant information , according to the needs of the various functions of the system module division and make the system design then according to the design requirements for system fault diagnosis , data mining and other parts of the detailed design and implementation. Which focuses describes the integrated diagnostic reasoning machine design and the associated data mining algorithm design . Finally, the system 's interface has been introduced, and the system 's future development prospect .

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CLC: > Industrial Technology > Automation technology,computer technology > Automated basic theory > Artificial intelligence theory > Expert systems, knowledge engineering
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