Application Research Of Integrated Technology Of Intelligent Fault Diagnosis To Nc Machine Tool Fault Diagnosis

CNC machine tool as an important indicator to measure a country's industry level of modernization, its failure not only caused huge economic losses, but also endangered personal safety. With expert system and network technology develops a web-based fault diagnosis expert system, which could easily find failure, give solutions, and effectively shorten equipment downtime caused by equipment failures. At the same time, "data flow" instead of "mobility" could reduce the number of staff travel for product maintenance and costs of after-sale technical support, enhance product market competition.The paper, based on in-depth analysis the structure and fault mechanism of the NC machine tool, and the methods of fault diagnosis,firstly, presents a RBF Cloud-neural Network mode which combines cloud theory and RBF neural network The mode not only has randomness and fuzziness of cloud theory, but also the ability of learning and memory of RBF. When it applied to the NC machine tool wear state recognition, experimental results show that the mode has high accuracy and strong practicability. The model also can apply to NC machine tool failure diagnosis, when there are multiple possible causes we can use the model get most likely cause of the failure, reduce the unnecessary time wasting caused by one by one trying to rule out errors.Secondly, the paper discusses the diagnosis mechanism of fault diagnosis system, namely, RBR and CBR coordinated operation diagnosis mechanism, which both of them are mixed in the implementation of reasoning. Rules are summarized from instances, which overcomes the shortcomings of rules difficulty to access, and guide case in the diagnosis on the other hand, which makes the fault fast positioning and improves the efficiency of diagnosis. Knowledge representation as an important part of establish an expert system, the paper takes the object-oriented knowledge representation, hierarchically divides the CNC machine tools by function structure, and makes rules, cases separately stored in the database combined with the structure and functions of NC machine tool for quick retrieval.Finally, the paper takes MyEclipse6.0+Tomcat6.0.18+JDK1.6.0 as the development tools, SQL Server2000 as the DBMS, Struts2 as framework, as framework, uses JSP developed fault diagnosis of CNC machine tools expert system based on B/S mode. The system is basically consistent with the original design requirements, can accurately locate the fault, provide decision support for fault maintenance, and it is also easy for knowledge maintenance built up by the database.