The fault prediction and abductive fault diagnosis of three-phase induction motors are of great importance for improving their working safety, reliability, and economy; however, it is difficult to succeed in solving these issues. This paper proposes a fault analysis method of motors based on modified fuzzy reasoning spiking neural P systems with real numbers (rMFRSNPSs) for fault prediction and abductive fault diagnosis. To achieve this goal, fault fuzzy production rules of three-phase induction motors are first proposed. Then, the rMFRSNPS is presented to model the rules, which provides an intuitive way for modelling the motors. Moreover, to realize the parallel data computing and information reasoning in the fault prediction and diagnosis process, three reasoning algorithms for the rMFRSNPS are proposed: the pulse value reasoning algorithm, the forward fault prediction reasoning algorithm, and the backward abductive fault diagnosis reasoning algorithm. Finally, some case studies are given, in order to verify the feasibility and effectiveness of the proposed method.
With popularity of Internet technology in international trade, the demand of electronic commerce information services keeps expanding, and the platform of electronic commerce information services has become key factor in the international trade information management in China to optimize the operation mode of international trade, increase trade opportunities and improve the international competitiveness under global economy integration and information society development .In this paper, the content and characteristics of electronic commerce information service are firstly analyzed ,combined with current situation of information management in international trade and enterprises' Internet infrastructure construction in China, it is proposed to construct an single-window platform, including the national common interface of data exchange, the common data exchange service platform for import and export enterprises, banking, logistics companies and government, and industry cooperative operation platform related to domestic and international trade activities.
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