Development of expert system for fault diagnosis of an 8-MW bulb turbine downstream irrigation hydro power plant

© 2017 IEEE. This research studies fault diagnosis about an unmanned 8 MW bulb turbine generator of run of river hydro power plant locate far from control and maintenance center by expert system scheme. To assist the inexpert maintenance crews to solve the failure by collecting knowledge from power...

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Main Authors: Isara Buaphan, Suttichai Premrudeepreechacharn
Format: Conference Proceeding
Published: 2018
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Online Access:https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85030158092&origin=inward
http://cmuir.cmu.ac.th/jspui/handle/6653943832/43682
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Institution: Chiang Mai University
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spelling th-cmuir.6653943832-436822018-04-25T07:21:37Z Development of expert system for fault diagnosis of an 8-MW bulb turbine downstream irrigation hydro power plant Isara Buaphan Suttichai Premrudeepreechacharn Energy Engineering Agricultural and Biological Sciences © 2017 IEEE. This research studies fault diagnosis about an unmanned 8 MW bulb turbine generator of run of river hydro power plant locate far from control and maintenance center by expert system scheme. To assist the inexpert maintenance crews to solve the failure by collecting knowledge from power plant equipment data, maintenance instruction manual, maintenance standard, historical failure events, and body of knowledge from expertise. Translate these information to knowledge base of an expert system by propositional logic. Together with failure analysis of mechanical and electrical equipment that initiate lockout relay signal to shutdown the power plant by fault tree analysis technique for more accuracy and correctness of fault diagnosis. Establishing an inference engine that comprise of failure search rules and problem solving rules. Developing graphical user interface that similar to the SCADA graphic of operator station making inexpert maintenance crews to familiar with the expert system software and easy to use. These will speed up the inexpert maintenance crews to correct the problem as fast as the expertise does. For example, such a case that the generator cannot synchronize to the grid that took the inexpert maintenance crews about 43 hours to correct the problem which lost income about 1,036,080 THB. With the help of the expert system the inexpert maintenance crews could take less than 4 hours to correct this problem and could save loss about 900,000 THB. 2018-01-24T03:52:09Z 2018-01-24T03:52:09Z 2017-08-07 Conference Proceeding 2-s2.0-85030158092 10.1109/IYCE.2017.8003740 https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85030158092&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/43682
institution Chiang Mai University
building Chiang Mai University Library
country Thailand
collection CMU Intellectual Repository
topic Energy
Engineering
Agricultural and Biological Sciences
spellingShingle Energy
Engineering
Agricultural and Biological Sciences
Isara Buaphan
Suttichai Premrudeepreechacharn
Development of expert system for fault diagnosis of an 8-MW bulb turbine downstream irrigation hydro power plant
description © 2017 IEEE. This research studies fault diagnosis about an unmanned 8 MW bulb turbine generator of run of river hydro power plant locate far from control and maintenance center by expert system scheme. To assist the inexpert maintenance crews to solve the failure by collecting knowledge from power plant equipment data, maintenance instruction manual, maintenance standard, historical failure events, and body of knowledge from expertise. Translate these information to knowledge base of an expert system by propositional logic. Together with failure analysis of mechanical and electrical equipment that initiate lockout relay signal to shutdown the power plant by fault tree analysis technique for more accuracy and correctness of fault diagnosis. Establishing an inference engine that comprise of failure search rules and problem solving rules. Developing graphical user interface that similar to the SCADA graphic of operator station making inexpert maintenance crews to familiar with the expert system software and easy to use. These will speed up the inexpert maintenance crews to correct the problem as fast as the expertise does. For example, such a case that the generator cannot synchronize to the grid that took the inexpert maintenance crews about 43 hours to correct the problem which lost income about 1,036,080 THB. With the help of the expert system the inexpert maintenance crews could take less than 4 hours to correct this problem and could save loss about 900,000 THB.
format Conference Proceeding
author Isara Buaphan
Suttichai Premrudeepreechacharn
author_facet Isara Buaphan
Suttichai Premrudeepreechacharn
author_sort Isara Buaphan
title Development of expert system for fault diagnosis of an 8-MW bulb turbine downstream irrigation hydro power plant
title_short Development of expert system for fault diagnosis of an 8-MW bulb turbine downstream irrigation hydro power plant
title_full Development of expert system for fault diagnosis of an 8-MW bulb turbine downstream irrigation hydro power plant
title_fullStr Development of expert system for fault diagnosis of an 8-MW bulb turbine downstream irrigation hydro power plant
title_full_unstemmed Development of expert system for fault diagnosis of an 8-MW bulb turbine downstream irrigation hydro power plant
title_sort development of expert system for fault diagnosis of an 8-mw bulb turbine downstream irrigation hydro power plant
publishDate 2018
url https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85030158092&origin=inward
http://cmuir.cmu.ac.th/jspui/handle/6653943832/43682
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