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The ship intelligent information management system construction and its method of
Author: ZhangJin
Tutor: LiHaiLiang;TangTianHao
School: Shanghai Maritime University
Course: Power Electronics and Power Drives
Keywords: Information Processing Artificial Intelligence Forecast and Analysis Fault Diagnosis Shipping management
CLC: TP315
Type: Master's thesis
Year: 2002
Downloads: 125
Quote: 1
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Abstract
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Fully developed in unprecedented splendor and scientific rationality of science and technology today, information theory triggered by the information technology revolution in the ascendant, it is profoundly change our lifestyles and production methods. This paper attempts to start of shipping management system, information processing in such a context. This paper emphasized on the basis of the need to elaborate construct shipping intelligent information management system for the general idea, and made a specific discussion on the various subsystems, summed up many of the original relatively independent subsystems composed of intelligent information management on shipping step by step system depends on three key technologies: computer integration technology, integrated information technology and intelligent integration technology and cabin intelligent information management subsystem, for example, further elaborated on the details of the three integrated technologies, including field bus control technology, database technology, information integrated display technology, trend forecasting and fault diagnosis technology, and so on. As a key provision of the larger space to discuss the application-oriented (mainly trend forecasting and fault diagnosis) integrated intelligent information processing technology, focusing on several based on neural network, after the introduction of relevant developments in the field and the overall pattern of intelligent algorithms, including those based on diagonal recurrent neural network (DRNN) Direct Multi-step nonlinear autoregressive moving average (NARMA) prediction model, based on generalized probability (GPS) and generalized probability product (GPP) operator fuzzy neural network model, and gives a detailed algorithm and application-oriented computing step. Finally, made a detailed analysis of marine engine room based on integrated intelligent information management system software developed on the basis of theoretical studies and implement the integrated software environment, framework and function. Based on the Fuzzy expert systems and artificial neural network intelligent integration method is applied to fault diagnosis and predictive analysis of complex systems, which in automatic centralized monitoring system based on the integrated smart as the core, fundamental diagnostic knowledge , as a means to assist in decision-making with automatic fault found, secondary diagnosis, trend forecast information management system for ship engine room. Results of their research for the entire shipping Intelligent Information Management System, has a universal significance.
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