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Review Article Open Access May 14, 2024

A review of reliability techniques for the evaluation of Programmable logic controller

A.F. Obele 1, D.O. Aikhuele 1 and H.U. Nwosu 1
1
Department of Mechanical Engineering, University of Port Harcourt, East-West Road, Port Harcourt, Nigeria
Publihed in: Current Research in Public Health (Volume 3, Issue 1, 2024)
Page(s): 24-57
DOI: 10.31586/wjeee.2024.947
Received
March 30, 2024
Revised
May 10, 2024
Accepted
May 12, 2024
Published
May 14, 2024
Keywords
Programmable Logic Controllers; Root Cause Analysis; Reliability Centered Maintenance; Physics of failure; Fault Tree Analysis; Hazard Analysis; Failure Modes and Effects Analysis (FMEA); Failure Mode, Effects and Criticality Analysis (FMECA); Reliability Block Diagrams
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 Scientific Publications
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Cite This Article

APA Style
Obele, A. , Aikhuele, D. , & Nwosu, H. (2024). A review of reliability techniques for the evaluation of Programmable logic controller. Current Research in Public Health, 3(1), 24-57. https://doi.org/10.31586/wjeee.2024.947
ACS Style
Obele, A. ; Aikhuele, D. ; Nwosu, H. A review of reliability techniques for the evaluation of Programmable logic controller. Current Research in Public Health 2024 3(1), 24-57. https://doi.org/10.31586/wjeee.2024.947
Chicago/Turabian Style
Obele, A.F., D.O. Aikhuele, and H.U. Nwosu. 2024. "A review of reliability techniques for the evaluation of Programmable logic controller". Current Research in Public Health 3, no. 1: 24-57. https://doi.org/10.31586/wjeee.2024.947
AMA Style
Obele A, Aikhuele D, Nwosu H. A review of reliability techniques for the evaluation of Programmable logic controller. Current Research in Public Health. 2024; 3(1):24-57. https://doi.org/10.31586/wjeee.2024.947 
@Article{crph947,
AUTHOR = {Obele, A.F. and Aikhuele, D.O. and Nwosu, H.U.},
TITLE = {A review of reliability techniques for the evaluation of Programmable logic controller},
JOURNAL = {Current Research in Public Health},
VOLUME = {3},
YEAR = {2024},
NUMBER = {1},
PAGES = {24-57},
URL = {https://www.scipublications.com/journal/index.php/WJEEE/article/view/947},
ISSN = {2831-5162},
DOI = {10.31586/wjeee.2024.947},
ABSTRACT = {PLCs, or programmable logic controllers, are essential parts of contemporary industrial automation systems and are responsible for managing and keeping an eye on a variety of operations. PLC reliability is critical to maintaining industrial systems' continuous and secure operation. A wide range of reliability strategies were used to improve the reliability of Programmable Logic Controllers, and this article methodically looks at them all. The evaluation classified PLC reliability techniques into Root Cause Analysis (RCA), Reliability Centered Maintenance (RCM), Hazard analysis (HA), Reliability block diagram (RBD), Fault tree analysis (FTA), Physics of failure (PoF) and FMEA/FMECA, after thoroughly reviewing the body of literature. The proportion of reviewed papers using either RCA, RCM, FMEA/FMECA, FTA, RBD, RCM, PoF, or Hazard analysis to increase the reliability of PLCs showed that RCA, which makes up 20% of the publications reviewed, has been used the most to increase the reliability of the PLC, followed by HA, RCM, RBD, FTA, and PoF, which account for 17%, 16%, 16%,13%, 10%, and 8% of the articles reviewed, respectively. The paper discusses new developments and trends in PLC reliability, such as the application of machine learning (ML) and artificial intelligence (AI) to fault detection and predictive maintenance.},
}
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%A Aikhuele, D.O.
%A Nwosu, H.U.
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AB  - PLCs, or programmable logic controllers, are essential parts of contemporary industrial automation systems and are responsible for managing and keeping an eye on a variety of operations. PLC reliability is critical to maintaining industrial systems' continuous and secure operation. A wide range of reliability strategies were used to improve the reliability of Programmable Logic Controllers, and this article methodically looks at them all. The evaluation classified PLC reliability techniques into Root Cause Analysis (RCA), Reliability Centered Maintenance (RCM), Hazard analysis (HA), Reliability block diagram (RBD), Fault tree analysis (FTA), Physics of failure (PoF) and FMEA/FMECA, after thoroughly reviewing the body of literature. The proportion of reviewed papers using either RCA, RCM, FMEA/FMECA, FTA, RBD, RCM, PoF, or Hazard analysis to increase the reliability of PLCs showed that RCA, which makes up 20% of the publications reviewed, has been used the most to increase the reliability of the PLC, followed by HA, RCM, RBD, FTA, and PoF, which account for 17%, 16%, 16%,13%, 10%, and 8% of the articles reviewed, respectively. The paper discusses new developments and trends in PLC reliability, such as the application of machine learning (ML) and artificial intelligence (AI) to fault detection and predictive maintenance.
DO  - A review of reliability techniques for the evaluation of Programmable logic controller
TI  - 10.31586/wjeee.2024.947
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