Enhancing Sustainable Decision-Making in Industrial Machinery Maintenance through Industry 4.0 and Condition Monitoring

Authors: Sreerama Meraka

Country: India

Full-text Research PDF File:   View   |   Download

Abstract: Fault diagnosis, often referred to as condition-based monitoring, is a critical technique for evaluating the operational health of dynamic equipment systems. In industrial environments, the effective maintenance of heavy machinery—such as turbines, motors, and compressors—is vital for production continuity. While traditional strategies like periodic or breakdown maintenance are common, they often fail to provide the precise data needed for optimized decision-making regarding parts replacement and downtime scheduling. This paper investigates the integration of Industry 4.0 technologies with condition monitoring (CM) to develop a more sustainable and intelligent diagnostic framework. By analyzing the evolution of maintenance techniques and current trends, this study demonstrates how real-time data and advanced analytics can significantly improve maintenance reliability and operational efficiency.

Keywords: Condition monitoring, , Fault Diagnosis, Maintenance Department, Industrial Plant, Condition Indicators, Industry 4.0.

Paper Id: 233177

Published On: 2026-07-12

Published In: Volume 14, Issue 4, July-August 2026

Share this