Digitalization & Sustainability Review

Peer Reviewed Article

Vol. 2 No. 1 (2022)

AI-Powered Predictive Maintenance for Industrial IoT Systems

Submitted
3 January 2022
Published
13-02-2022

Abstract

AI and IoT systems have enabled AI-powered predictive maintenance, a proactive approach to industrial maintenance that predicts and prevents equipment breakdowns. This study examines AI-powered predictive maintenance in Industrial IoT systems to improve predictive accuracy, maintenance schedules, and operational efficiency. The paper covers AI and IoT integration, significant machine learning algorithms in maintenance, data integration, cybersecurity issues, and workforce training implications using secondary data. According to the findings, AI-powered predictive maintenance improves predictive accuracy, real-time monitoring, cost savings, safety, and scalability. Data integration issues and cybersecurity dangers increase the need for robust policy frameworks. Policy should promote interoperability standards, cybersecurity protocols, and workforce training to solve these issues and promote AI-powered predictive maintenance. This study concludes that AI-powered predictive maintenance can transform industrial processes and ensure digital sustainability and competitiveness.

References

  1. Anumandla, S. K. R. (2018). AI-enabled Decision Support Systems and Reciprocal Symmetry: Empowering Managers for Better Business Outcomes. International Journal of Reciprocal Symmetry and Theoretical Physics, 5, 33-41. https://upright.pub/index.php/ijrstp/article/view/129
  2. Dhameliya, N., Mullangi, K., Shajahan, M. A., Sandu, A. K., & Khair, M. A. (2020). Blockchain-Integrated HR Analytics for Improved Employee Management. ABC Journal of Advanced Research, 9(2), 127-140. https://doi.org/10.18034/abcjar.v9i2.738
  3. Koehler, S., Dhameliya, N., Patel, B., & Anumandla, S. K. R. (2018). AI-Enhanced Cryptocurrency Trading Algorithm for Optimal Investment Strategies. Asian Accounting and Auditing Advancement, 9(1), 101–114. https://4ajournal.com/article/view/91
  4. Li, X., Li, W., He, J. (2018). Design and Implementation of Equipment Maintenance Predictive Model Based on Machine Learning. IOP Conference Series. Materials Science and Engineering, 466(1). https://doi.org/10.1088/1757-899X/466/1/012001
  5. Maddula, S. S. (2018). The Impact of AI and Reciprocal Symmetry on Organizational Culture and Leadership in the Digital Economy. Engineering International, 6(2), 201–210. https://doi.org/10.18034/ei.v6i2.703
  6. Maddula, S. S., Shajahan, M. A., & Sandu, A. K. (2019). From Data to Insights: Leveraging AI and Reciprocal Symmetry for Business Intelligence. Asian Journal of Applied Science and Engineering, 8(1), 73–84. https://doi.org/10.18034/ajase.v8i1.86
  7. Mullangi, K. (2017). Enhancing Financial Performance through AI-driven Predictive Analytics and Reciprocal Symmetry. Asian Accounting and Auditing Advancement, 8(1), 57–66. https://4ajournal.com/article/view/89
  8. Mullangi, K., Maddula, S. S., Shajahan, M. A., & Sandu, A. K. (2018). Artificial Intelligence, Reciprocal Symmetry, and Customer Relationship Management: A Paradigm Shift in Business. Asian Business Review, 8(3), 183–190. https://doi.org/10.18034/abr.v8i3.704
  9. Mullangi, K., Yarlagadda, V. K., Dhameliya, N., & Rodriguez, M. (2018). Integrating AI and Reciprocal Symmetry in Financial Management: A Pathway to Enhanced Decision-Making. International Journal of Reciprocal Symmetry and Theoretical Physics, 5, 42-52. https://upright.pub/index.php/ijrstp/article/view/134
  10. Patel, B., Mullangi, K., Roberts, C., Dhameliya, N., & Maddula, S. S. (2019). Blockchain-Based Auditing Platform for Transparent Financial Transactions. Asian Accounting and Auditing Advancement, 10(1), 65–80. https://4ajournal.com/article/view/92
  11. Pydipalli, R. (2018). Network-Based Approaches in Bioinformatics and Cheminformatics: Leveraging IT for Insights. ABC Journal of Advanced Research, 7(2), 139-150. https://doi.org/10.18034/abcjar.v7i2.743
  12. Richardson, N., Pydipalli, R., Maddula, S. S., Anumandla, S. K. R., & Vamsi Krishna Yarlagadda. (2019). Role-Based Access Control in SAS Programming: Enhancing Security and Authorization. International Journal of Reciprocal Symmetry and Theoretical Physics, 6, 31-42. https://upright.pub/index.php/ijrstp/article/view/133
  13. Rodriguez, M., Shajahan, M. A., Sandu, A. K., Maddula, S. S., & Mullangi, K. (2021). Emergence of Reciprocal Symmetry in String Theory: Towards a Unified Framework of Fundamental Forces. International Journal of Reciprocal Symmetry and Theoretical Physics, 8, 33-40. https://upright.pub/index.php/ijrstp/article/view/136
  14. Sachani, D. K., & Vennapusa, S. C. R. (2017). Destination Marketing Strategies: Promoting Southeast Asia as a Premier Tourism Hub. ABC Journal of Advanced Research, 6(2), 127-138. https://doi.org/10.18034/abcjar.v6i2.746
  15. Sandu, A. K. (2021). DevSecOps: Integrating Security into the DevOps Lifecycle for Enhanced Resilience. Technology & Management Review, 6, 1-19. https://upright.pub/index.php/tmr/article/view/131
  16. Sandu, A. K., Surarapu, P., Khair, M. A., & Mahadasa, R. (2018). Massive MIMO: Revolutionizing Wireless Communication through Massive Antenna Arrays and Beamforming. International Journal of Reciprocal Symmetry and Theoretical Physics, 5, 22-32. https://upright.pub/index.php/ijrstp/article/view/125
  17. Schmidt, B., Wang, L. (2018). Cloud-enhanced Predictive Maintenance. The International Journal of Advanced Manufacturing Technology, 99(1-4), 5-13. https://doi.org/10.1007/s00170-016-8983-8
  18. Shafi, U., Safi, A., Shahid, A. R., Ziauddin, S., Saleem, M. Q. (2018). Vehicle Remote Health Monitoring and Prognostic Maintenance System. Journal of Advanced Transportation, 2018. https://doi.org/10.1155/2018/8061514
  19. Shafiq, A., Badwelan, A., Ghaleb, A. M., Qamhan, A., Sharaf, M. (2018). Analyzing Critical Failures in a Production Process: Is Industrial IoT the Solution?. Wireless Communications & Mobile Computing (Online), 2018. https://doi.org/10.1155/2018/6951318
  20. Shajahan, M. A. (2018). Fault Tolerance and Reliability in AUTOSAR Stack Development: Redundancy and Error Handling Strategies. Technology & Management Review, 3, 27-45. https://upright.pub/index.php/tmr/article/view/126
  21. Shajahan, M. A. (2021). Next-Generation Automotive Electronics: Advancements in Electric Vehicle Powertrain Control. Digitalization & Sustainability Review, 1(1), 71-88. https://upright.pub/index.php/dsr/article/view/135
  22. Shajahan, M. A., Richardson, N., Dhameliya, N., Patel, B., Anumandla, S. K. R., & Yarlagadda, V. K. (2019). AUTOSAR Classic vs. AUTOSAR Adaptive: A Comparative Analysis in Stack Development. Engineering International, 7(2), 161–178. https://doi.org/10.18034/ei.v7i2.711
  23. Toma, C., Popa, M. (2018). IoT Security Approaches in Oil & Gas Solution Industry 4.0. Informatica Economica, 22(3), 46-61. https://doi.org/10.12948/issn14531305/22.3.2018.05
  24. Vennapusa, S. C. R., Fadziso, T., Sachani, D. K., Yarlagadda, V. K., & Anumandla, S. K. R. (2018). Cryptocurrency-Based Loyalty Programs for Enhanced Customer Engagement. Technology & Management Review, 3, 46-62. https://upright.pub/index.php/tmr/article/view/137
  25. Vlasov, A. I., Grigoriev, P. V., Krivoshein, A. I., Shakhnov, V. A., Filin, S. S. (2018). Smart Management of Technologies: Predictive Maintenance of Industrial Equipment Using Wireless Sensor Networks. Entrepreneurship and Sustainability Issues, 6(2), 489-502. https://doi.org/10.9770/jesi.2018.6.2(2)
  26. Yarlagadda, V. K., & Pydipalli, R. (2018). Secure Programming with SAS: Mitigating Risks and Protecting Data Integrity. Engineering International, 6(2), 211–222. https://doi.org/10.18034/ei.v6i2.709
  27. Yerram, S. R., Mallipeddi, S. R., Varghese, A., & Sandu, A. K. (2019). Human-Centered Software Development: Integrating User Experience (UX) Design and Agile Methodologies for Enhanced Product Quality. Asian Journal of Humanity, Art and Literature, 6(2), 203-218. https://doi.org/10.18034/ajhal.v6i2.732
  28. Ying, D., Patel, B., & Dhameliya, N. (2017). Managing Digital Transformation: The Role of Artificial Intelligence and Reciprocal Symmetry in Business. ABC Research Alert, 5(3), 67–77. https://doi.org/10.18034/ra.v5i3.659
  29. Zhu, M., Liu, C. (2018). A Correlation Driven Approach with Edge Services for Predictive Industrial Maintenance. Sensors, 18(6), 1844. https://doi.org/10.3390/s18061844

Similar Articles

1-10 of 16

You may also start an advanced similarity search for this article.