Expert System for Control and Maintenance of Steam Package Boiler Drum and Feed Water Using Rule-Based Fuzzy Logic Techniques

Boye Aziboledia Frederick; Daniel Matthias; Onate Egerton Taylor

doi:doi:10.11648/j.ajcst.20230602.15

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Expert System for Control and Maintenance of Steam Package Boiler Drum and Feed Water Using Rule-Based Fuzzy Logic Techniques

Boye Aziboledia Frederick, Daniel Matthias, Onate Egerton Taylor

Published in American Journal of Computer Science and Technology (Volume 6, Issue 2)

Received: 18 May 2022 Accepted: 5 October 2022 Published: 27 June 2023

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Abstract

Expert system as a branch in artificial intelligence have impact greatly in many fields of discipline experimentally with various applications. This paper presents research work for expert system for steam package boiler control and maintenance using rule-base fuzzy logic technologies. The system handles cause of boiler errors in terms of control and maintaining the level in boiler drum and feed water variables. The methodology used was quantitative and qualitative as the system validates the consistency, correctness, and its precision on the test value cases, with twenty-one (21) boiler domain practitioners on dynamic simulation. The boiler variables with less or higher test value worst-cases validates the system, indicating red on the boiler’s panel, while on test value best-cases, validates the system, indicating green on the boiler’s panel as end users entered the right values. The steam package boiler system prevents damaged and controls its alkalinity, scaling, chemical corrosion, forming, correct pH values and then conductivity which deals with the feed boiler water and monitored the level in the boiler drum using the industry process parameters, pressure, temperature, level, and flow. The system mean (µ) error on auto run mode was computed as 1.5. The system can be deployed in chemical plants, oil, and gas industry etc. where steam package boilers are needed for steam generation and to reduced need for draughting.

Published in	American Journal of Computer Science and Technology (Volume 6, Issue 2)
DOI	10.11648/j.ajcst.20230602.15
Page(s)	80-95
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Expert System, Rule-Base System, Fuzzy Logic, Steam Package Boiler, Dynamic Simulation

References

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APA Style

Boye Aziboledia Frederick, Daniel Matthias, Onate Egerton Taylor. (2023). Expert System for Control and Maintenance of Steam Package Boiler Drum and Feed Water Using Rule-Based Fuzzy Logic Techniques. American Journal of Computer Science and Technology, 6(2), 80-95. https://doi.org/10.11648/j.ajcst.20230602.15

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ACS Style

Boye Aziboledia Frederick; Daniel Matthias; Onate Egerton Taylor. Expert System for Control and Maintenance of Steam Package Boiler Drum and Feed Water Using Rule-Based Fuzzy Logic Techniques. Am. J. Comput. Sci. Technol. 2023, 6(2), 80-95. doi: 10.11648/j.ajcst.20230602.15

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AMA Style

Boye Aziboledia Frederick, Daniel Matthias, Onate Egerton Taylor. Expert System for Control and Maintenance of Steam Package Boiler Drum and Feed Water Using Rule-Based Fuzzy Logic Techniques. Am J Comput Sci Technol. 2023;6(2):80-95. doi: 10.11648/j.ajcst.20230602.15

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@article{10.11648/j.ajcst.20230602.15,
  author = {Boye Aziboledia Frederick and Daniel Matthias and Onate Egerton Taylor},
  title = {Expert System for Control and Maintenance of Steam Package Boiler Drum and Feed Water Using Rule-Based Fuzzy Logic Techniques},
  journal = {American Journal of Computer Science and Technology},
  volume = {6},
  number = {2},
  pages = {80-95},
  doi = {10.11648/j.ajcst.20230602.15},
  url = {https://doi.org/10.11648/j.ajcst.20230602.15},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajcst.20230602.15},
  abstract = {Expert system as a branch in artificial intelligence have impact greatly in many fields of discipline experimentally with various applications. This paper presents research work for expert system for steam package boiler control and maintenance using rule-base fuzzy logic technologies. The system handles cause of boiler errors in terms of control and maintaining the level in boiler drum and feed water variables. The methodology used was quantitative and qualitative as the system validates the consistency, correctness, and its precision on the test value cases, with twenty-one (21) boiler domain practitioners on dynamic simulation. The boiler variables with less or higher test value worst-cases validates the system, indicating red on the boiler’s panel, while on test value best-cases, validates the system, indicating green on the boiler’s panel as end users entered the right values. The steam package boiler system prevents damaged and controls its alkalinity, scaling, chemical corrosion, forming, correct pH values and then conductivity which deals with the feed boiler water and monitored the level in the boiler drum using the industry process parameters, pressure, temperature, level, and flow. The system mean (µ) error on auto run mode was computed as 1.5. The system can be deployed in chemical plants, oil, and gas industry etc. where steam package boilers are needed for steam generation and to reduced need for draughting.},
 year = {2023}
}

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TY  - JOUR
T1  - Expert System for Control and Maintenance of Steam Package Boiler Drum and Feed Water Using Rule-Based Fuzzy Logic Techniques
AU  - Boye Aziboledia Frederick
AU  - Daniel Matthias
AU  - Onate Egerton Taylor
Y1  - 2023/06/27
PY  - 2023
N1  - https://doi.org/10.11648/j.ajcst.20230602.15
DO  - 10.11648/j.ajcst.20230602.15
T2  - American Journal of Computer Science and Technology
JF  - American Journal of Computer Science and Technology
JO  - American Journal of Computer Science and Technology
SP  - 80
EP  - 95
PB  - Science Publishing Group
SN  - 2640-012X
UR  - https://doi.org/10.11648/j.ajcst.20230602.15
AB  - Expert system as a branch in artificial intelligence have impact greatly in many fields of discipline experimentally with various applications. This paper presents research work for expert system for steam package boiler control and maintenance using rule-base fuzzy logic technologies. The system handles cause of boiler errors in terms of control and maintaining the level in boiler drum and feed water variables. The methodology used was quantitative and qualitative as the system validates the consistency, correctness, and its precision on the test value cases, with twenty-one (21) boiler domain practitioners on dynamic simulation. The boiler variables with less or higher test value worst-cases validates the system, indicating red on the boiler’s panel, while on test value best-cases, validates the system, indicating green on the boiler’s panel as end users entered the right values. The steam package boiler system prevents damaged and controls its alkalinity, scaling, chemical corrosion, forming, correct pH values and then conductivity which deals with the feed boiler water and monitored the level in the boiler drum using the industry process parameters, pressure, temperature, level, and flow. The system mean (µ) error on auto run mode was computed as 1.5. The system can be deployed in chemical plants, oil, and gas industry etc. where steam package boilers are needed for steam generation and to reduced need for draughting.
VL  - 6
IS  - 2
ER  -

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Author Information

Boye Aziboledia Frederick

Department of Computer Science, Rivers State University, Port Harcourt, Nigeria
Daniel Matthias

Department of Computer Science, Rivers State University, Port Harcourt, Nigeria
Onate Egerton Taylor

Department of Computer Science, Rivers State University, Port Harcourt, Nigeria

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APA Style

Boye Aziboledia Frederick, Daniel Matthias, Onate Egerton Taylor. (2023). Expert System for Control and Maintenance of Steam Package Boiler Drum and Feed Water Using Rule-Based Fuzzy Logic Techniques. American Journal of Computer Science and Technology, 6(2), 80-95. https://doi.org/10.11648/j.ajcst.20230602.15

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ACS Style

Boye Aziboledia Frederick; Daniel Matthias; Onate Egerton Taylor. Expert System for Control and Maintenance of Steam Package Boiler Drum and Feed Water Using Rule-Based Fuzzy Logic Techniques. Am. J. Comput. Sci. Technol. 2023, 6(2), 80-95. doi: 10.11648/j.ajcst.20230602.15

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AMA Style

Boye Aziboledia Frederick, Daniel Matthias, Onate Egerton Taylor. Expert System for Control and Maintenance of Steam Package Boiler Drum and Feed Water Using Rule-Based Fuzzy Logic Techniques. Am J Comput Sci Technol. 2023;6(2):80-95. doi: 10.11648/j.ajcst.20230602.15

Copy | Download

@article{10.11648/j.ajcst.20230602.15,
  author = {Boye Aziboledia Frederick and Daniel Matthias and Onate Egerton Taylor},
  title = {Expert System for Control and Maintenance of Steam Package Boiler Drum and Feed Water Using Rule-Based Fuzzy Logic Techniques},
  journal = {American Journal of Computer Science and Technology},
  volume = {6},
  number = {2},
  pages = {80-95},
  doi = {10.11648/j.ajcst.20230602.15},
  url = {https://doi.org/10.11648/j.ajcst.20230602.15},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajcst.20230602.15},
  abstract = {Expert system as a branch in artificial intelligence have impact greatly in many fields of discipline experimentally with various applications. This paper presents research work for expert system for steam package boiler control and maintenance using rule-base fuzzy logic technologies. The system handles cause of boiler errors in terms of control and maintaining the level in boiler drum and feed water variables. The methodology used was quantitative and qualitative as the system validates the consistency, correctness, and its precision on the test value cases, with twenty-one (21) boiler domain practitioners on dynamic simulation. The boiler variables with less or higher test value worst-cases validates the system, indicating red on the boiler’s panel, while on test value best-cases, validates the system, indicating green on the boiler’s panel as end users entered the right values. The steam package boiler system prevents damaged and controls its alkalinity, scaling, chemical corrosion, forming, correct pH values and then conductivity which deals with the feed boiler water and monitored the level in the boiler drum using the industry process parameters, pressure, temperature, level, and flow. The system mean (µ) error on auto run mode was computed as 1.5. The system can be deployed in chemical plants, oil, and gas industry etc. where steam package boilers are needed for steam generation and to reduced need for draughting.},
 year = {2023}
}

Copy | Download

TY  - JOUR
T1  - Expert System for Control and Maintenance of Steam Package Boiler Drum and Feed Water Using Rule-Based Fuzzy Logic Techniques
AU  - Boye Aziboledia Frederick
AU  - Daniel Matthias
AU  - Onate Egerton Taylor
Y1  - 2023/06/27
PY  - 2023
N1  - https://doi.org/10.11648/j.ajcst.20230602.15
DO  - 10.11648/j.ajcst.20230602.15
T2  - American Journal of Computer Science and Technology
JF  - American Journal of Computer Science and Technology
JO  - American Journal of Computer Science and Technology
SP  - 80
EP  - 95
PB  - Science Publishing Group
SN  - 2640-012X
UR  - https://doi.org/10.11648/j.ajcst.20230602.15
AB  - Expert system as a branch in artificial intelligence have impact greatly in many fields of discipline experimentally with various applications. This paper presents research work for expert system for steam package boiler control and maintenance using rule-base fuzzy logic technologies. The system handles cause of boiler errors in terms of control and maintaining the level in boiler drum and feed water variables. The methodology used was quantitative and qualitative as the system validates the consistency, correctness, and its precision on the test value cases, with twenty-one (21) boiler domain practitioners on dynamic simulation. The boiler variables with less or higher test value worst-cases validates the system, indicating red on the boiler’s panel, while on test value best-cases, validates the system, indicating green on the boiler’s panel as end users entered the right values. The steam package boiler system prevents damaged and controls its alkalinity, scaling, chemical corrosion, forming, correct pH values and then conductivity which deals with the feed boiler water and monitored the level in the boiler drum using the industry process parameters, pressure, temperature, level, and flow. The system mean (µ) error on auto run mode was computed as 1.5. The system can be deployed in chemical plants, oil, and gas industry etc. where steam package boilers are needed for steam generation and to reduced need for draughting.
VL  - 6
IS  - 2
ER  -

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