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International Journal for Research Trends and Innovation
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ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Issue: March 2026
Volume 11 | Issue 3
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| Paper Title: | The Role of AI and IoT in Predictive Maintenance: A Literature-Based Exploration |
| Authors Name: | Dr. Saurabh Gupta |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJRTI_201473
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| Published Paper Id: | IJRTI2503130 |
| Published In: | Volume 10 Issue 3, March-2025 |
| DOI: | http://doi.one/10.1729/Journal.44234 |
| Abstract: | The rapid advancements in Artificial Intelligence (AI) and the Internet of Things (IoT) have transformed predictive maintenance (PdM), enabling industries to transition from reactive and preventive strategies to proactive, data-driven maintenance models. A comprehensive literature-based examination of AI and IoT applications in PdM is presented in this paper, highlighting their roles in cost reduction, asset optimization, and failure prediction. The study discusses real-world case studies from the manufacturing, aerospace, and energy sectors in addition to key methodologies like sensor-driven predictive analytics, machine learning, and deep learning. Despite the transformative potential of AI and IoT in predictive maintenance, several challenges and limitations persist, including data privacy concerns, interoperability issues, cybersecurity risks, and the need for skilled AI-literate personnel. To address these challenges, emerging research directions focus on cognitive AI, federated learning, explainable AI (XAI), quantum computing, and 6G-enabled predictive analytics. The future of PdM will be characterized by self-learning, autonomous maintenance systems, driving efficiency, sustainability, and reliability in industrial operations. Predictive Maintenance 5.0, a paradigm in which AI-powered maintenance systems continuously optimize, self-correct, and autonomously manage industrial assets, is the goal of this study, which provides crucial insights into current advancements, limitations, and future trends in AI and IoT-driven predictive maintenance. In order to ensure that industries can fully utilize the potential of AI and the Internet of Things (IoT) for intelligent, ready-for-the-future maintenance strategies, our goal in this research is to bridge the gap between theoretical advancements and practical implementations. |
| Keywords: | Industry 4.0, AI, IoT, Predictive Maintenance, Smart Maintenance, Predictive Maintenance 5.0 |
| Cite Article: | "The Role of AI and IoT in Predictive Maintenance: A Literature-Based Exploration", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 3, page no.b245-b248, March-2025, Available :http://www.ijrti.org/papers/IJRTI2503130.pdf |
| Downloads: | 000516 |
| ISSN: |
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
| Publication Details: |
Published Paper ID: IJRTI2503130
Registration ID:201473
Published In: Volume 10 Issue 3, March-2025
DOI (Digital Object Identifier): http://doi.one/10.1729/Journal.44234
Page No: b245-b248 Country: Panchkula, Haryana, India Research Area: Engineering Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2503130 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2503130 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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