| Status |
Accepted |
| journal_subject |
Part B |
| Article Type |
Regular Paper (More than 4 pages) |
| Article Filed |
|
| Article Title |
The Research of Intelligent Diagnosis Expert System on Pumps Group |
| Keywords |
Pumps Group, Fault Diagnosis, Expert System, Off-line Patrol. |
| Abstract |
The pumps group dispersed in the oil refining enterprises is commonly monitored by off-line patrol
management system, by which inspection and data analysis are limited. Automatic diagnosis for pump faults
cannot be performed, and maintenance of pumps cannot be relied on in this system. Therefore, a task-based
intelligent diagnosis expert system is proposed to solve this problem. The diagnostic reasoning of the system is
implemented by formulating a general rule based on the failure mechanism of the pump, and establishing
customized special diagnosis rules for different pumps on the basis of general rules. Different tasks can be
selected to diagnose faults according to different types of centrifugal pump. According to this design strategy,
an intelligent diagnosis expert system for the pumps group is developed and used in the refining enterprises.
Practical examples of diagnosis for the pumps group are given to verify the effectiveness of the approach
proposed in this paper. |
| Authors |
| First Name
| Middle Name
| Last Name
| E-Mail
| Corresponding
|
| Bo |
|
Ma |
mabo@mail.buct.edu.cn |
Yes |
| Kun |
|
Feng |
|
No |
| Yujie |
|
Xi |
|
No |
|
|
|
|
No |
|
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