Home
Global Journal of Research in Science and Technology
Peer-Reviewed • ISSN: 2980-4167 • Fast-Track Publishing • Impact Factor 7.5 • Low Publication Charges • Crossref DOI Linking

Main navigation

  • Home
    • Aims and Scope of GJRST
    • Editorial Board
    • Reviewer Panel
    • GJRST Journal Policies
    • Our CrossMark Policy (opens in new tab)
    • Current Issue in Progress
    • Latest Issue Published
    • Past Issues Published
    • Instructions for Authors
    • Track Manuscript Status
    • Article Processing Charges
    • Get Publication Certificate
  • Join Us
  • Contact us

Research & review articles are invited for publication in September 2026 (Vol. 5, Issue 3) || Submission: up to 28th September || Editorial decision: within 48 hrs.

Advanced maintenance strategies for energy infrastructure: Lessons for optimizing rotating machinery

Breadcrumb

  • Home
  • Advanced maintenance strategies for energy infrastructure: Lessons for optimizing rotating machinery

Ovie Vincent Erhueh 1, *, Chukwuebuka Nwakile 1, Oluwaseyi Ayotunde Akano 2, Adeoye Taofik Aderamo 3 and Enobong Hanson 1

1 Independent Researcher, Nigeria.
2 Chevron Nigeria Limited, Nigeria.
3 Independent Researcher, Lagos Nigeria.

Review Article
Global Journal of Research in Science and Technology, 2024, 02(02), 065–093.
Article DOI: 10.58175/gjrst.2024.2.2.0073
DOI url: https://doi.org/10.58175/gjrst.2024.2.2.0073

Received 07 September 2024; revised on 16 October 2024; accepted on 19 October 2024

The reliability and efficiency of energy infrastructure depend heavily on the performance of rotating machinery, such as turbines, compressors, and pumps. Advanced maintenance strategies, particularly predictive and condition-based maintenance, have emerged as crucial approaches for optimizing the operational performance and lifespan of such machinery. This paper explores key lessons learned from implementing these advanced strategies in energy infrastructure, with a focus on how they can enhance system reliability, reduce downtime, and lower maintenance costs. By integrating digital technologies such as the Internet of Things (IoT), artificial intelligence (AI), and machine learning (ML), maintenance can be more accurately forecasted, enabling preemptive action before machinery failure occurs. The role of real-time monitoring systems and the use of vibration analysis, thermal imaging, and acoustic monitoring as diagnostic tools are examined in detail. Additionally, the paper delves into the challenges associated with the implementation of these strategies, including the need for skilled personnel, the high costs of sensor deployment, and the integration of data from diverse sources. However, despite these challenges, case studies of energy firms that have adopted advanced maintenance strategies demonstrate significant improvements in operational efficiency and machinery uptime. Lessons from industries that rely on rotating machinery, such as oil and gas, power generation, and renewable energy sectors, are highlighted, underscoring the importance of continuous innovation in maintenance techniques. The paper concludes by providing recommendations for organizations looking to optimize their rotating machinery, including prioritizing the deployment of predictive maintenance technologies, fostering collaboration between maintenance and IT departments, and continuously training personnel in the latest diagnostic tools. Ultimately, advanced maintenance strategies present a pathway for energy companies to improve asset management, enhance sustainability, and minimize the risk of unexpected failures.

Advanced Maintenance Strategies; Rotating Machinery; Energy Infrastructure; Predictive Maintenance; Condition-Based Maintenance; Internet of Things (Iot); Artificial Intelligence (AI); Machine Learning (ML); Real-Time Monitoring; Operational Efficiency.

https://gsjournals.com/gjrst/sites/default/files/fulltext_pdf/GJRST-2024-0073.p…

Preview Article PDF

Ovie Vincent Erhueh, Chukwuebuka Nwakile, Oluwaseyi Ayotunde Akano, Adeoye Taofik Aderamo, Enobong Hanson. Advanced maintenance strategies for energy infrastructure: Lessons for optimizing rotating machinery. Global Journal of Research in Science and Technology, 2024, 02(02), 065–093. Article DOI: https://doi.org/10.58175/gjrst.2024.2.2.0073

Copyright © Author(s). All rights reserved. This article is published under the terms of the Creative Commons Attribution 4.0 International License (CC BY 4.0), which permits use, sharing, adaptation, distribution, and reproduction in any medium or format, as long as appropriate credit is given to the original author(s) and source, a link to the license is provided, and any changes made are indicated.


All statements, opinions, and data contained in this publication are solely those of the individual author(s) and contributor(s). The journal, editors, reviewers, and publisher disclaim any responsibility or liability for the content, including accuracy, completeness, or any consequences arising from its use.

Get Certificates

Get Publication Certificate

Download LoA

Check Corssref DOI details

Issue details

Issue Cover Page

Editorial Board

Table of content

Copyright © 2026 Global Journal of Research in Science and Technology - All rights reserved

Developed & Designed by VS Infosolution