Vibration-Based Condition Monitoring of Rotating Machinery Using LabVIEW
DOI:
https://doi.org/10.32628/IJSRCE237529Keywords:
Predictive maintenance, Intelligent monitoring systems, Signal processing, Artificial intelligence, Data visualization, Operational reliabilityAbstract
This study explores the transformative role of intelligent monitoring systems in advancing predictive maintenance, operational reliability, and data-driven engineering decision-making within complex industrial environments. The purpose of the research was to examine how contemporary automation tools, data analytics frameworks, and real-time visualization platforms can collectively redefine machinery health assessment and fault prediction. Adopting a comprehensive analytical approach, the study integrates theoretical underpinnings of vibration analysis with modern sensor technologies, signal processing methods, and artificial intelligence-driven diagnostic models to develop a holistic understanding of system behavior. The investigation employed a multidisciplinary synthesis of literature, emphasizing the integration of programmable virtual instrumentation, cloud computing, and intelligent data visualization as enablers of autonomous diagnostics. The findings reveal that intelligent software environments significantly enhance the accuracy and responsiveness of condition monitoring through seamless data acquisition, high-fidelity signal interpretation, and real-time visualization. Furthermore, the research identifies the growing influence of blockchain, predictive analytics, and cybersecurity frameworks in improving transparency, compliance, and data integrity within monitoring networks. While challenges such as implementation costs, data complexity, and skill limitations persist, the study underscores the potential of adaptive algorithms and workforce training initiatives to mitigate these constraints. The conclusions affirm that integrating advanced analytics with intelligent monitoring frameworks represents a decisive shift toward sustainable, self-optimizing industrial operations. The study recommends strategic investments in artificial intelligence, workforce development, and ethical data governance to ensure reliability, resilience, and environmental alignment. By harmonizing automation with human expertise, industries can transition from reactive maintenance to predictive intelligence, achieving greater efficiency, sustainability, and long-term competitiveness.
Downloads
References
Abioye, R.F., Okojie, J.S., Filani, O.M., Ike, P.N., Idu, J.O.O., and Nnabueze, S.B. (2023). Automated ESG reporting in energy projects using blockchain-driven smart compliance management systems. International Journal of Multidisciplinary Evolutionary Research, 4(2), p.10. DOI: https://doi.org/10.54660/IJMER.2023.4.2.120-129
Adebayo, A. (2022). Leveraging threat intelligence in DevSecOps for enhanced banking security. International Journal of Scientific Research and Modern Technology, 1, pp.1-4. DOI: https://doi.org/10.38124/ijsrmt.v1i5.583
Adebayo, A., Afuwape, A.A., Akindemowo, A.O., Erigha, E.D., Obuse, E., Ajayi, J.O., and Soneye, O.M. (2023). A conceptual model for secure DevOps architecture using Jenkins, Terraform, and Kubernetes. International Journal of Multidisciplinary Research and Growth Evaluation, 4(1), pp.1300-1317. https://doi.org/10.54660/.IJMRGE.2023.4.1 DOI: https://doi.org/10.54660/.IJMRGE.2023.4.1.1300-1317
Agyemang, J., Gyimah, E., Ofori, P., Nimako, C., and Akoto, O. (2022). Pollution and health risk implications of heavy metals in the surface soil of the Asafo auto-mechanic workshop in Kumasi, Ghana. Chemistry Africa, 5(1), pp.189-199. https://doi.org/10.1007/s42250-021-00297-x DOI: https://doi.org/10.1007/s42250-021-00297-x
Ajayi, J., Akindemowo, A., Erigha, E., Obuse, E., Afuwape, A., and Adebayo, A. (2023). A conceptual framework for cloud cost optimization through automated query refactoring and materialization. International Journal of Multidisciplinary Research and Growth Evaluation, 4(2), pp.898-914. DOI: https://doi.org/10.54660/.IJMRGE.2023.4.2.898-914
Akindemowo, A.O., Erigha, E.D., Obuse, E., Ajayi, J.O., Adebayo, A., Afuwape, A.A., and Adanyin, A. (2021). A Conceptual Framework for Automating Data Pipelines Using ELT Tools in Cloud-Native Environments. Journal of Frontiers in Multidisciplinary Research, 2(1), pp.440-452. https://doi.org/10.54660/.JFMR.2021.2.1.440-452 DOI: https://doi.org/10.54660/.JFMR.2021.2.1.440-452
Akindemowo, A.O., Erigha, E.D., Obuse, E., Ajayi, J.O., Soneye, O.M. & Adebayo, A. (2022) A conceptual model for agile portfolio management in multi-cloud deployment projects. International Journal of Computer Science and Mathematical Theory, 8(2), 64–93.
Bukhari, T.T., Moyo, T.M., Tafirenyika, S., Taiwo, A.E., Tuboalabo, A., and Ajayi, A.E. (2022). AI-Driven Cybersecurity Intelligence Dashboards for Threat Prevention and Forensics in Regulated Business Sectors. https://doi.org/10.54660/IJMER.2022.3.2.01 DOI: https://doi.org/10.54660/IJMER.2022.3.2.01-11
Chowdhury, A. and Nuruzzaman, M. (2023). Design, Testing, And Troubleshooting Of Industrial Equipment: A Systematic Review Of Integration Techniques ForUS Manufacturing Plants. Review Of Applied Science And Technology, 2(01), Pp.53-84.https://doi.org/10.63125/893et038 DOI: https://doi.org/10.63125/893et038
Eboseremen, B., Adebayo, A., Essien, I., Afuwape, A., Soneye, O., and Ofori, S. (2021). The Role of Natural Language Processing in Data-Driven Research Analysis. International Journal of Multidisciplinary Research and Growth Evaluation, 2(1), pp.935-942. DOI: https://doi.org/10.54660/.IJMRGE.2021.2.1.935-942
Eboseremen, B., Adebayo, A., Essien, I., Ofori, S., and Soneye, O. (2022). The Impact of Interactive Data Visualizations on Public Policy Decision-Making. International Journal of Multidisciplinary Research and Growth Evaluation, 3(1), pp.1189-1203. https://doi.org/10.54660/.IJMRGE.2022.3.1.1189-1203 DOI: https://doi.org/10.54660/.IJMRGE.2022.3.1.1189-1203
Essandoh, S., Sakyi, J.K., Ibrahim, A.K., Okafor, C.M., and Wedraogo, L. (2023).Analyzing the Effects of Leadership Styles on Team Dynamics and Project Outcomes. https://doi.org/10.54660/.JFMR.2023.4.2.314-328 DOI: https://doi.org/10.54660/.JFMR.2023.4.2.314-328
Essien, I.A., Adebayo, A.O., Afuwape, A.A., Eboseremen, B.O., Oladega, F., and Soneye, O.M. (2023). The Ethics of Web Scraping in Research: A Review: Investigating the boundaries, legal implications, and societal acceptance of web scraping as a data collection method. Journal of Frontiers in Multidisciplinary Research, 4(1), pp.529-538. https://doi.org/10.54660/.JFMR.2023.4.1.529-538 DOI: https://doi.org/10.54660/.JFMR.2023.4.1.529-538
Fasasi, G.O. & Tafirenyika, S. (2023) Policy framework for data-informed tools optimizing workflow efficiency in adult social services. https://doi.org/10.62225/2583049X.2023.3.1.5206 DOI: https://doi.org/10.62225/2583049X.2023.3.1.5206
Filani, O.M., Nnabueze, S.B., Ike, P.N. &Wedraogo, L. (2022) Real-Time Risk Assessment Dashboards Using Machine Learning in Hospital Supply Chain Management Systems. International Journal of Modern Engineering Research (IJMER), 3(1), 65–76. https://doi.org/10.54660/IJMER.2022.3.1.65-76 DOI: https://doi.org/10.54660/IJMER.2022.3.1.65-76
Frempong, D., Ifenatuora, G.P., and Ofori, S.D. (2020). AI-powered chatbots for education delivery in remote and underserved regions. https://doi.org/10.54660/.IJFMR.2020.1.1.156-172 DOI: https://doi.org/10.54660/.IJFMR.2020.1.1.156-172
Gado, P., Gbaraba, S.V., Adeleke, A.S., Anthony, P., Ezeh, F.E., Tafirenyika, S., and Moyo, T.M. (2020). Leadership and strategic innovation in healthcare: lessons for advancing access and equity. Int J Multidiscip Res Growth Eval, 1(4), pp.147-65. DOI: https://doi.org/10.54660/.IJMRGE.2020.1.4.147-165
Gado, P., Gbaraba, S.V., Adeleke, A.S., Anthony, P., Ezeh, F.E., Moyo, T.M., and Tafirenyika, S. (2022). Streamlining patient journey mapping: a systems approach to improving treatment persistence. International Journal of Multidisciplinary Futuristic Development, 3(2), pp.38-57. https://doi.org/10.54660/IJMFD.2022.3.2.38 DOI: https://doi.org/10.54660/IJMFD.2022.3.2.38-57
Ibitoye, J.S. (2018). Securing smart grid and critical infrastructure through AI-enhanced cloud networking. International Journal of Computer Applications Technology and Research, 7(12), pp.517-529.
Ike, P.N., Aifuwa, S.E., Nnabueze, S.B., Olatunde-Thorpe, J., Ogbuefi, E., Oshoba, T.O., and Akokodaripon, D. (2020). Utilizing Nanomaterials in Healthcare Supply Chain Management for Improved Drug Delivery Systems. Medicine (Ding et al., 2020; Furtado et al., 2018), 12, p.13. https://doi.org/10.62225/2583049X.2024.4.4.5154
Ilori, O., Lawal, C.I., Friday, S.C., Isibor, N.J., and Chukwuma-Eke, E.C. (2022). The Role of Data Visualization and Forensic Technology in Enhancing Audit Effectiveness: A Research Synthesis. J. Front. Multidiscip. Res, 3(1), pp.188-200. DOI: https://doi.org/10.54660/.IJFMR.2022.3.1.188-200
Kuponiyi, A. & Akomolafe, O.O. (2022) A digital health framework for expanding access to preventive services in marginalized communities. International Journal of Advanced Multidisciplinary Research and Studies, 9(1).
Kuponiyi, A., Akomolafe, O.O., and Omotayo, O. (2023). Assessing the future of virtual reality applications in healthcare: a comprehensive review. https://doi.org/10.54660/.JFMR.2023.4.2.243-250 DOI: https://doi.org/10.54660/.JFMR.2023.4.2.243-250
Kuponiyi, A., Omotayo, O., and Akomolafe, O.O. (2023). Leveraging AI to improve clinical decision-making in healthcare systems. https://doi.org/10.54660/.JFMR.2023.4.2.223-242 DOI: https://doi.org/10.54660/.JFMR.2023.4.2.223-242
Moyo, T.M., Tafirenyika, S., Tuboalabo, A., Taiwo, A.E., Bukhari, T.T., and Ajayi, A.E. (2023). Cloud-Based Knowledge Management Systems with AI-Enhanced Compliance and Data Privacy Safeguards. https://doi.org/10.54660/IJMFD.2023.4.2.67-77 DOI: https://doi.org/10.54660/IJMFD.2023.4.2.67-77
Moyo, T.M., Taiwo, A.E., Ajayi, A.E., Tafirenyika, S., Tuboalabo, A., and Bukhari, T.T. (2021). Designing Smart BI Platforms for Government Healthcare Funding Transparency and Operational Performance Improvement. https://doi.org/10.54660/IJMER.2021.2.2.41-51 DOI: https://doi.org/10.54660/IJMER.2021.2.2.41-51
Nnabueze, S.B., Ike, P.N., Olatunde-Thorpe, J., Aifuwa, S.E., Oshoba, T.O., Ogbuefi, E., and Akokodaripon, D. (2021). End-to-End Visibility Frameworks Improving Transparency, Compliance, and Traceability Across Complex Global Supply Chain Operations. https://doi.org/10.54660/IJMFD.2021.2.2.50-60 DOI: https://doi.org/10.54660/IJMFD.2021.2.2.50-60
Nnabueze, S.B., Ike, P.N., Olatunde-Thorpe, J., Aifuwa, S.E., Oshoba, T.O., Ogbuefi, E., and Akokodaripon, D. (2022). Supply Chain Disruption Forecasting Using Network Analytics. https://doi.org/10.54660/.IJFMR.2022.3.2.193-203
Nnabueze, S.B., Ike, P.N., Olatunde-Thorpe, J., Aifuwa, S.E., Oshoba, T.O., Ogbuefi, E., and Akokodaripon, D. (2022). Supply Chain Disruption Forecasting Using Network Analytics. https://doi.org/10.54660/.IJFMR.2022.3.2.193-203 DOI: https://doi.org/10.54660/.IJFMR.2022.3.2.193-203
Obuse, E., Ajayi, J., Akindemowo, A., Erigha, E., Adebayo, A., Afuwape, A., and Soneye, O. (2023). Advances in analytics engineering for operational Decision-Making using Tableau, Astrato, and Power BI. International Journal of Multidisciplinary Research and Growth Evaluation, 4(1), pp.1318-1335. https://doi.org/10.54660/.IJMRGE.2023.4.1.1318-1335 DOI: https://doi.org/10.54660/.IJMRGE.2023.4.1.1318-1335
Ofori, P., Asamoah, G., Amoah, B., Agyeman, K.O.A. & Yeboah, E. (2021). Combined application of poultry litter biochar and NPK fertilizer improves cabbage yield and soil chemical properties. Open Agriculture, 6(1), 356–368. DOI: https://doi.org/10.1515/opag-2021-0217
Ofori, S.D., Frempong, D., Olateju, M. and Ifenatuora, G.P. (2023). Early childhood education: a psychological approach review in Africa and the USA. Journal of Frontiers in Multidisciplinary Research, 4(1), 552–558. DOI: https://doi.org/10.54660/.JFMR.2023.4.1.552-558
Ofori, S.D., Olateju, M., Frempong, D. and Ifenatuora, G.P. (2023). Online Education and Child Protection Laws: A Review of USA and African Contexts. Journal of Frontiers in Multidisciplinary Research, 4(1), pp.545-551. https://doi.org/10.54660/.JFMR.2023.4.1.545-551 DOI: https://doi.org/10.54660/.JFMR.2023.4.1.545-551
Ogbuefi, E., Aifuwa, S.E., Olatunde-Thorpe, J. and Akokodaripon, D. (2023). Explainable AI in credit decisioning: balancing accuracy and transparency. https://doi.org/10.62225/2583049X.2025.5.5.5024 DOI: https://doi.org/10.62225/2583049X.2025.5.5.5024
Okafor, C.M., Wedraogo, L., Essandoh, S., Sakyi, J.K., Ibrahim, A.K., and Ogunwale, O. (2023). AI-Driven Decision-Making and Its Impact on Business Performance. https://doi.org/10.54660/.JFMR.2023.4.2.286-299 DOI: https://doi.org/10.54660/.JFMR.2023.4.2.286-299
Okojie, J.S., Filani, O.M., Ike, P.N., Idu, J.O.O. &Nnabueze, S.B. (2023) Predictive analytics models for monitoring smart city emissions and infrastructure risk in urban ESG planning. International Journal of Multidisciplinary Futuristic Development, 4(1), 45–57. DOI: https://doi.org/10.54660/IJMFD.2023.4.1.45-57
Olagoke-Komolafe, O. andOyeboade, J. (2023). Comparative analysis of native and invasive fish species' impact on freshwater ecosystem services. https://doi.org/10.54660/IJMER.2023.4.2.17-28 DOI: https://doi.org/10.54660/IJMER.2023.4.2.17-28
Olagoke-Komolafe, O. and Oyeboade, J. (2023). Applying Lean Six Sigma methodologies to enhance food safety and operational efficiency. International Journal of Multidisciplinary Evolutionary Research, 4(1), pp.50-60. https://doi.org/10.54660/IJMER.2023.4.1.50-60 DOI: https://doi.org/10.54660/IJMER.2023.4.1.50-60
Oluoha, O.M., Odeshina, A.B.I.S.O.L.A., Reis, O.L.U.W.A.T.O.S.I.N., Okpeke, F.R.I.D.A.Y., Attipoe, V.E.R.L.I.N.D.A. And Orieno, O., (2023). A Privacy-First Framework For Data Protection And Compliance Assurance In Digital Ecosystems. Iconic Research And Engineering Journals, 7(4), Pp.620-646.
Omolayo, O., Aduloju, T.D., Okare, B.P., and Taiwo, A.E. (2022). Digital Twin Frameworks for Simulating Multiscale Patient Physiology in Precision Oncology: A Review of Real-Time Data Assimilation. Predictive TumorModeling and Clinical Decision Interfaces. DOI: https://doi.org/10.54660/IJMFD.2022.3.1.1-8
Omotayo, O.O.A. and Kuponiyi, A.B. (2020) Telehealth expansion in post-COVID healthcare systems: challenges and opportunities. ICONIC Research and Engineering Journals, 3(10), 496–513.
Oyeboade, J. and Olagoke-Komolafe, O. (2023). Spatial and seasonal variations in water quality parameters in anthropogenically impacted river systems. International Journal of Multidisciplinary Evolutionary Research, 4(1), pp.72-83. https://doi.org/10.54660/IJMER.2023.4.1.72-83 DOI: https://doi.org/10.54660/IJMER.2023.4.1.72-83
Oyeboade, J. and Olagoke-Komolafe, O., (2023). Implementing innovative data-driven solutions for sustainable agricultural development and productivity. International Journal of Multidisciplinary Futuristic Development, 4(1), pp.24-31. https://doi.org/10.54660/IJMFD.2023.4.1.24-31
Debrah, J.K. & Dinis, M.A.P. (2023).Chemical characteristics of bottom ash from biomedical waste incinerators in Ghana. Environmental Monitoring and Assessment, 195(5), 568. https://doi.org/10.1007/s10661-023-11132-w DOI: https://doi.org/10.1007/s10661-023-11132-w
Samuel, A.J. (2022). AI and machine learning for secure data exchange in decentralized energy markets on the cloud.https://doi.org/10.30574/wjarr.2022.16.2.1282 DOI: https://doi.org/10.30574/wjarr.2022.16.2.1282
Shamim, M.M.R., (2022). Electrical And Mechanical Troubleshooting in Medical And Diagnostic Device Manufacturing: A Systematic Review Of Industry Safety And Performance Protocols. American Journal of Scholarly Research and Innovation, 1(01), pp.295-318.https://doi.org/10.63125/d68y3590 DOI: https://doi.org/10.63125/d68y3590
Tanikonda, A., Pandey, B.K., Peddinti, S.R., and Katragadda, S.R. (2022). Advanced AI-driven cybersecurity solutions for proactive threat detection and response in complex ecosystems. Journal of Science & Technology, 3(1).http://dx.doi.org/10.2139/ssrn.5102358 DOI: https://doi.org/10.2139/ssrn.5102358
Usmani, U.A., Happonen, A., and Watada, J. (2023), October. Advancements in industry 4.0 asset management: Interoperability and cyber security challenges and opportunities. In Proceedings of the Future Technologies Conference (pp. 468-488). Cham: Springer Nature Switzerland.https://doi.org/10.1007/978-3-031-47448-4_35 DOI: https://doi.org/10.1007/978-3-031-47448-4_35
Wai, E. and Lee, C.K.M., (2023). Seamless industry 4.0 integration: A multilayered cyber-security framework for resilient scada deployments in cpps. Applied Sciences, 13(21), p.12008.https://doi.org/10.3390/app132112008 DOI: https://doi.org/10.3390/app132112008
Wedraogo, L., Essandoh, S., Sakyi, J.K., Ibrahim, A.K., Okafor, C.M., and Ogunwale, O. (2023).Analyzing Risk Management Practices in International Business Expansion. https://doi.org/10.54660/.JFMR.2023.4.2.300-313 DOI: https://doi.org/10.54660/.JFMR.2023.4.2.300-313
Yeboah, B.K. and Ike, P.N. (2020) ‘Programmatic strategy for renewable energy integration: Lessons from large-scale solar projects’, International Journal of Multidisciplinary Research and Growth Evaluation, 1(3), pp. 306–315. DOI: https://doi.org/10.54660/.IJMRGE.2020.1.3.306-315 DOI: https://doi.org/10.54660/.IJMRGE.2020.1.3.306-315
Yeboah, B.K. and Ike, P.N. (2023) ‘Conceptual program for workforce training and leadership development in reliability engineering’, International Journal of Advanced Multidisciplinary Research Studies, 3(1), pp. 1641–1650. DOI: https://doi.org/10.62225/2583049X.2023.3.1.5211 DOI: https://doi.org/10.62225/2583049X.2023.3.1.5211
Downloads
Published
Issue
Section
License
This work is licensed under a Creative Commons Attribution 4.0 International License.
https://creativecommons.org/licenses/by/4.0
