• Mrs. VIJAYALAXMI S SADLAPUR
• Mrs.JYOTHI WADGERI
• Mrs.MALATI B SAJJAN

Predictive Maintenance (PdM) is a data-driven approach that leverages advanced technologies such as the Internet of Things (IoT), Artificial Intelligence (AI), and Machine Learning (ML) to anticipate equipment failures before they occur. Unlike traditional reactive or preventive maintenance strategies, PdM optimizes maintenance schedules based on real-time sensor data and predictive analytics, leading to reduced downtime, lower operational costs, and enhanced equipment efficiency. Industries such as manufacturing, energy, automotive, and healthcare are increasingly adopting PdM to improve asset reliability and operational safety. However, challenges such as high implementation costs, data complexity, and cybersecurity risks remain. Future advancements in edge computing, AI-driven automation, and 5G connectivity are expected to further enhance PdM capabilities, making it an essential component of Industry 4.0.

Predictive Maintenance (PdM), Internet of Things (IoT), Artificial Intelligence (AI), and Machine Learning (ML), cybersecurity

"PREDICTIVE MAINTENANCE IN INDUSTRY", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 7, page no.523-526, July-2018, Available :http://www.jetir.org/papers/JETIR1807A77.pdf

"PREDICTIVE MAINTENANCE IN INDUSTRY", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 7, page no. pp523-526, July-2018, Available at : http://www.jetir.org/papers/JETIR1807A77.pdf