| In the urgent request of industrial enterprises to be transformating and upgrading, fault diagnosis of equipments plays an important role in the field of service-oriented manufacturing. It is helpful to enhance the satisfaction of customers and improve the competitiveness of enterprise itself. Information technology drives the transformation of traditional manufacturing to service-oriented and provides an effective method for fault diagnosis. In this context, information and knowledge have been competitive assets, so the research on knowledge management in the field of fault diagnosis, will not only improve the service quality, but also bring significant economic benefits. As a typical machine, hobbing machine is widely used. At present, however, as the wide of service areas, high requirements for the technicians and some other factors in this field, the manufacturers do not have an effect method of management, which leads that most maintenance data and records are at idle or not used effectually. In order to achieve the purposes of knowledge sharing and knowledge using maximizing, to meet the customs'needs of working simplify and diagnosis timely and effective, therefore, knowledge management is proposed in the field of fault diagnosis of hobbing machine.Firstly, the structures and working state of hobbing machine are analyzed. Aimed at the characters of hierarchy, correlation, etc, a knowledge management method oriented to the field of fault diagnosis of hobbing machine is proposed, which includes resource level, implementation level and application level. On the basis, the processes of knowledge management are summarized separately.Secondly, the key technologies of knowledge management which includes knowledge representation, knowledge acquisition, knowledge storage and knowledge maintenance are studied. A method of knowledge representation based on ontology is put forward. The full definitions of ontology such as classes, properties, relations, instances and rules are provided to describe the knowledge in the field clearly and formally; based on the ontology model, a semi-automated method of knowledge acquisition is built, in order to change the information into structured; in the view of knowledge maintenance and updating, a method of knowledge storage based on OWL is presented; giving the dynamic of ontology, the ontology inference engine FaCT++ is used to make sure the knowledge in the knowledge base is consistent and correct.Finally, based on the theories and methods discussed above, the key technologies have been implemented and a prototype system has been structured, which verifies the methods proposed in the paper are effective and feasible. |
