Fault query and reasoning method for certain type of equipment
A reasoning method and failure technology, applied in the field of artificial intelligence, can solve problems such as difficult understanding and knowledge acquisition, and achieve the effects of fast problem reasoning, fast convergence speed, and improved query response speed
Active Publication Date: 2021-08-13
XI AN JIAOTONG UNIV
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Problems solved by technology
This method can quickly identify and diagnose faults, but it is difficult to acquire knowledge and understand
Method used
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[0052] Below in conjunction with accompanying drawing and embodiment the present invention is described in detail;
[0053] Such as figure 1 As shown, a fault query and reasoning method for a certain type of equipment provided by the present invention includes the following steps: Step 1: Establish a database and enter data; Step 2: Ontology modeling; Step 3: Generate RDF documents; Step 4: Input The fault features use the knowledge graph to query the solution features; Step 5: Infer the fault solutions that are not in the database. The invention has the advantages of fast learning speed, simple training and good performance.
[0054] The steps of fault inquiry and reasoning method for a certain type of equipment are as follows:
[0055] The first step is to establish a database and enter data
[0056] Firstly, the Mysql database is established, and the "fault characteristic table", "solution characteristic table" and the "relationship table" between fault characteristics a...
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The invention discloses a fault query and reasoning method for a certain type of equipment. The method comprises the following steps: 1, a Mysql database is established and data are input; 2, ontology modeling is carried out by utilizing a protege modeling tool; 3, the data in the Mysql are converted into an RDF (Resource Description Framework) format by utilizing a d2rq tool; 4, fault features are input, the system generates an RDF query language SPARQL, a query statement is sent to the Fuseki server, and the server returns a query result; and 5, for cases which do not exist in the case library, a query result needs to be deduced. According to the method, a clustering algorithm and a radial basis function neural network are used for reasoning, the similarity between each feature of a new case and each feature of an existing case in a case library is calculated, several solution features with the highest similarity are given, and after the solution features are corrected, the solution features serve as a new case to be input into a database.
Description
technical field [0001] The invention belongs to the field of artificial intelligence, and in particular relates to a fault query and reasoning method for a certain type of equipment. Background technique [0002] A certain type of equipment contains a large number of mechanical, hydraulic, electrical and other components, parts, and components, and its failure forms, mechanisms, and maintenance methods are different. If you only use the breakdown maintenance manual, it is difficult to achieve efficient and fast retrieval, and it is difficult to adapt to combat scenarios. Equipment maintenance rhythm; at the same time, there are various types of equipment failures, and it is difficult to provide maintenance suggestions for failures that do not appear in the failure maintenance manual, and it is difficult to achieve continuous updating and printing of maintenance methods based on the failure maintenance manual. Therefore, it is particularly important to develop an equipment ma...
Claims
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Login to View More IPC IPC(8): G06F16/242G06F16/28G06F16/36G06F16/35G06N3/04G06N5/04G06Q10/00
CPCG06F16/2445G06F16/284G06F16/367G06F16/353G06N5/04G06Q10/20G06N3/042G06N3/045
Inventor 郑帅张译心江齐陈波洪军
Owner XI AN JIAOTONG UNIV