• Megha Bhekane
• Dnyaneshwari Kolekar
• Dr. Sunita Padmannavar

The Internet of Things (IoT) connects smart devices via the internet, enabling intelligent interactions. IoT is transforming various industries, notably in predictive maintenance. In the context of the fourth industrial revolution, predictive maintenance (PdM) is essential for sustainable manufacturing by digitizing machine upkeep. IoT platforms support PdM by integrating data from diverse machines and systems. By using real-time data from sensors, IoT-based PdM employs machine learning to anticipate equipment failures, enabling timely maintenance. This proactive approach reduces unplanned downtimes and prolongs machinery life. This paper examines IoT's application in PdM, detailing its architecture and key components, and exploring real-world applications, benefits, and challenges. It highlights IoT's potential to enhance industrial efficiency and cost savings, advocating for its broader adoption to ensure more resilient maintenance strategies.

IOT, Predictive Maintenance, Industry 4.0, Industry, Machine Learning, PdM, Smart Manufacturing, Sensors, Predictive Maintenance and challenges

"INNOVATING INDUSTRY – IOT ENABLED PREDICTIVE MAINTENANCE IN INDUSTRY", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 6, page no.e27-e33, June-2024, Available :http://www.jetir.org/papers/JETIR2406406.pdf

"INNOVATING INDUSTRY – IOT ENABLED PREDICTIVE MAINTENANCE IN INDUSTRY", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 6, page no. ppe27-e33, June-2024, Available at : http://www.jetir.org/papers/JETIR2406406.pdf