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Study and Development of Simulation Trial Platform Used for Fault Diagnosis Base on SDG
Author: WangLei
Tutor: WuZhongGuang
School: Beijing University of Chemical Technology
Course: Systems Engineering
Keywords: Troubleshooting SDG Simulation Platform Configuration Software HYSYS
CLC: TP277
Type: Master's thesis
Year: 2005
Downloads: 192
Quote: 2
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Abstract
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In recent years , petrochemical production process safety issues increasingly attracted wide attention from the government and the public , and petrochemical production process fault diagnosis has gradually become the hot research issues related disciplines , and has made some achievements , the emergence of a number of effective methods and technology. Based on deep knowledge model SDG method due to its simplicity, universality and completeness of such features in the increasingly significant in many ways , the need for fault diagnosis algorithm tests to verify its accuracy and usefulness . Troubleshooting refers to the operation of the machine or device detects an abnormal state , the cause of the abnormal state recognition and prediction , the actual process of fault diagnosis tests on the device is not permitted , is unrealistic, therefore need to establish a verification for fault diagnosis algorithm simulation platform . Firstly, the fault diagnosis technology were summarized overview of the technique and its SDG fault diagnosis for petrochemical advantage. Focuses on the simulation platform architecture and module division , and one of imitation DCS configuration software design and implementation , HYSYS software automation interface research , and software direct interface program design and implementation were discussed in detail. Finally, in the case of verification carried out on the platform , the platform design process are summarized, given the outlook for the subsequent development platform .
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CLC: > Industrial Technology > Automation technology,computer technology > Automation technology and equipment > Automation systems > Monitoring, alarm,fault diagnosis system
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