To solve the reusing and sharing problems of fault knowledge which is short of fault knowledge base, research of knowledge representation and knowledge discovery method of agricultural machinery with the maintenance support to knowledge discovery and reuse purpose was carried out. With Chinese segmentation tools, information extraction technologies of Chinese fields in agricultural machinery fault data were studied. Research of data mining technology about mining implicit relevance information from fault data for founding of agricultural fault knowledge base by association rules algorithm was studied. This method was proved feasible to build agricultural machinery maintenance fault knowledge base by dealing with the real data.

Maintenance serves as the major engineering service in the PSS delivery model, it has a key role in delivering performance driven solutions. Leveraging the strengths of a dynamic PSS network for maintenance performance has become essential to satisfy rapidly changing customer demands and to remain competitive. Firms are therefore aiming to further their maintenance competence, which we define as the ability of the PSS networks to improve products and services, based on the processes and relationships established with PSS partners and customers. The purpose of this research is therefore to provide insight into how intangible capital among PSS network partners can be effectively utilized for maintenance performance. This study examines how intangible capital and knowledge further the development of maintenance competence within the context of a PSS network. A theoretical model is verified through structural equation modeling utilizing survey data collected from a PSS network, which consists of a large agricultural machine manufacturer, three providers for intelligent terminal instruments and 1000 smalland medium-sized service stations and distributors in the manufacturing industry. The results indicated that human capital and organizational capital are positively related to knowledge type development, which in turn has a positive effect on maintenance performance in PSS networks. This study contributes to the theoretical development of a conceptual model by examining the mediating role of explicit knowledge and tacit knowledge in the relation human capital and organizational capital with maintenance performance. Conclusively, an outlook for further research is given.