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Failure diagnosis system and method based on PDA

A fault diagnosis system and fault technology, applied in the field of artificial intelligence, can solve problems such as the inability to meet the needs of remote real-time fault diagnosis, achieve high efficiency and capability, and improve safety.

Inactive Publication Date: 2009-03-18
NORTHWESTERN POLYTECHNICAL UNIV
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  • Summary
  • Abstract
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] In order to solve the problem that the existing technology cannot meet the needs of remote real-time fault diagnosis in the field working environment, the present invention provides a fault diagnosis system based on PDA

Method used

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  • Failure diagnosis system and method based on PDA
  • Failure diagnosis system and method based on PDA
  • Failure diagnosis system and method based on PDA

Examples

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Embodiment Construction

[0036] Device example:

[0037] refer to figure 1, device of the present invention comprises 1 center database server, selects IBM System x3800 server for use; 2 is network server, selects IBM X236-8841-IVC server for use; 3 is the portable computer that is in certain maintenance center, selects Lenovo ThinkPad X61 portable computer for use; 4 It is a desktop computer in a repair center, and it is a Lenovo Kaitian M6900 desktop computer; 1, 2, 3, and 4 are all connected to the wired network 5 . 6 is the wireless access point, choose Tenda TWL5401A 30Km long-distance wireless access point. 7 is wireless network. 8, 9, and 10 are PDAs. HP iPAQ212 Enterprise PDA is selected. Its processor frequency reaches 624MHz or more, 128M SDRAM main memory is used to run applications, 256M flash ROM, and the storage capacity can reach more than 4G after expansion by expansion cards. 8 is connected to 3 through a data line, 9 is connected to 4 through a data line, and 10 is connected to 6...

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Abstract

The invention discloses a fault diagnosis system based on PDA and a method thereof, wherein a central database server, a network server, client computers and wireless access points are connected by a wired network, the central database server is mounted with a large relation data bank, for establishing a knowledge base and an inference engine; the network server interchanges the information among the central database server and a plurality of PDA; each PDA is accessed into the network via client computers or wireless access points to interchange data with the central database server. The method comprises that users input fault phenomenon; an information pretreatment unit matches a source case with the fault phenomenon, an answer extraction unit extracts and feedbacks a most similar answer according to the inference result to users. The invention provides a system and a method, via which outfield workers can utilize PDA to realize auxiliary maintenance of planes and obtain high fault diagnosis efficiency and ability on PDA.

Description

technical field [0001] This paper involves the field of artificial intelligence, especially a fault diagnosis system and method. Background technique [0002] The traditional aircraft maintenance method is mostly to use maintenance technicians and invite relevant experts to participate in the maintenance process, which can indeed play a role in ensuring the reliability of maintenance and cultivating relevant technical personnel. However, this method is suitable for original equipment with a relatively single system structure and low complexity. As the aircraft becomes more and more technical, more experts are required to participate. If there are not enough expert talents, it will lead to fault diagnosis. Not allowed, not only can not improve the efficiency but also may affect the equipment. As more and more problems are exposed, it shows that the traditional maintenance method of simply relying on a large number of technicians and experts to ensure aircraft maintenance is ...

Claims

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Application Information

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IPC IPC(8): G01M19/00G06N5/04G01M99/00
Inventor 司书宾孙树栋张沛王宁蔡志强王军强杨宏安刘福厚
Owner NORTHWESTERN POLYTECHNICAL UNIV
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