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Analysis and Fulfillment of the Internet Based Remote Online Monitoring and Fault Diagnosis System for Hydropower Generating Sets

Author: ZhouYe
Tutor: SunJianPing
School: Huazhong University of Science and Technology
Course: Fluid Machinery and Engineering
Keywords: Turbine units Online monitoring Fault Diagnosis Remote Rule-based Expert system
CLC: TV738
Type: Master's thesis
Year: 2006
Downloads: 258
Quote: 6
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Abstract


With the rapid development and wide application of network technology , more and more hydropower plants to establish their own internal corporate network or directly connected to the Internet . At the same time , in order to achieve unattended , small duty modern power plant management model , many power plants are equipped with a local online monitoring unit fault diagnosis system . If we can combine the monitoring system and power plant network together to build a remote network monitoring system , then the use of the monitoring system will be easy and more extensive , but it also brings a higher level of efficiency in the use of . To monitor the operating status of the unit and the long - term trends and forecast , according to the state of the unit ahead of management and predictive maintenance , will bring more economic benefits to the enterprise and society . Paper first discusses the turbine units online monitoring and fault diagnosis system of the status quo , their own opinions and views and for the status quo , and then briefly introduces the main work of this paper ; then gives remote online monitoring and fault diagnosis system overall structure and development process and will develop a detailed description and analysis of process encountered some difficulties and points , and given their own solutions . Online monitoring system design and implementation process , in order to fully reflect the real-time operation of the remote nature of the Internet , and turbine group carried out a series of Finally, the practical realization of the program . In fault diagnosis , using a rule-based automated reasoning , backward reasoning combined with human participation , both achieve the initial real-time automatic diagnostic online monitoring process , and also to provide support for further advanced diagnostics . According to this article the realization of the principle of the preparation of a detailed computer monitoring and diagnostic software , and software systems for the power plant practice . Provide a valuable reference for the future development of the monitoring system .

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CLC: > Industrial Technology > Hydraulic Engineering > Hydropower utilization of hydropower project > Hydropower station construction and equipment > Maintenance, repair
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