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1707135PublishedVol 8 · Issue 8

Development of an Integrated Condition Monitoring System on Critical Parameters of a Micro Steam Power Plant

Lawal Tajudeen Bankole Kareem B. Adeyeri M. K. Ewetumo T.

Subject area: Science,Engineering and Technology  ·  Area of research: Engineering

Abstract

In order to improve the efficiency and implement preventive or condition-based maintenance it is essential that a system that signals early warning of failure is provided so that appropriate restoration decision is made to forestall such failure. An Integrated Condition Monitoring System (ICMS) is developed to monitor parameters responsible for health condition of a 5 kW micro steam power plant. ICMS was designed to monitor those critical parameters that their abrupt change in values beyond design thresholds can lead to catastrophic failure. These parameters are steam temperature, steam pressure, steam mass flow rate, current, and voltage. The system was developed by using appropriate sensors programmed on Arduino UNO. Test was carried out in five replicates and the outcomes compared with the design/threshold values. The experimental results were within the limits of threshold values indicating that the plant?s health condition is normal. Results also show that the sensors? capacities and performance are adequate with data variations in all cases less than 5%. Hence, the device is efficient, and has ability to predict imminent failure thereby safe cost and time of carrying out breakdown maintenance.

Keywords

Condition monitoring, Micro steam power plant, critical parameter, maintenance efficiency

How to cite this paper

Lawal Tajudeen Bankole, Kareem B., Adeyeri M. K., Ewetumo T. "Development of an Integrated Condition Monitoring System on Critical Parameters of a Micro Steam Power Plant" Iconic Research And Engineering Journals Volume 8 Issue 8 2025 Page 227-233
Lawal Tajudeen Bankole, Kareem B., Adeyeri M. K., Ewetumo T. "Development of an Integrated Condition Monitoring System on Critical Parameters of a Micro Steam Power Plant" Iconic Research And Engineering Journals, vol. 8, no. 8, Feb. 2025
Lawal Tajudeen Bankole, Kareem B., Adeyeri M. K., Ewetumo T. (2025). Development of an Integrated Condition Monitoring System on Critical Parameters of a Micro Steam Power Plant. Iconic Research And Engineering Journals, 8(8).
Lawal Tajudeen Bankole, Kareem B., Adeyeri M. K., Ewetumo T. "Development of an Integrated Condition Monitoring System on Critical Parameters of a Micro Steam Power Plant" Iconic Research And Engineering Journals, vol. 8, no. 8, Feb. 2025.
@article{1707135,
      author = {Lawal Tajudeen Bankole, Kareem B., Adeyeri M. K., Ewetumo T.},
      title = {Development of an Integrated Condition Monitoring System on Critical Parameters of a Micro Steam Power Plant},
      journal = {Iconic Research And Engineering Journals},
      year = {2025},
      volume = {8},
      number = {8},
      pages = {227-233},
      issn = {2456-8880},
      url = {https://www.irejournals.com/formatedpaper/1707135.pdf},
      abstract = {In order to improve the efficiency and implement preventive or condition-based maintenance it is essential that a system that signals early warning of failure is provided so that appropriate restoration decision is made to forestall such failure. An Integrated Condition Monitoring System (ICMS) is developed to monitor parameters responsible for health condition of a 5 kW micro steam power plant. ICMS was designed to monitor those critical parameters that their abrupt change in values beyond design thresholds can lead to catastrophic failure. These parameters are steam temperature, steam pressure, steam mass flow rate, current, and voltage. The system was developed by using appropriate sensors programmed on Arduino UNO.  Test was carried out in five replicates and the outcomes compared with the design/threshold values. The experimental results were within the limits of threshold values indicating that the plant?s health condition is normal.  Results also show that the sensors? capacities and performance are adequate with data variations in all cases less than 5%. Hence, the device is efficient, and has ability to predict imminent failure thereby safe cost and time of carrying out breakdown maintenance.},
      keywords = {Condition monitoring, Micro steam power plant, critical parameter, maintenance efficiency},
      month = {February},
  }