Zoidii's report provides a practical playbook for operationalizing reliability improvements with CMMS workflows, emphasizing the importance of building a complete asset register, standardizing ...
Abstract: Deep learning has emerged as a game-changing approach in anomaly detection, fault diagnosis, and predictive maintenance ($\mathbf{P d M}$), particularly in industrial contexts. These fields ...
AI-assisted inspections and digital workflows are transforming construction equipment maintenance, improving pre-start checks ...
These standout case studies show how manufacturers have reduced downtime, cut costs, and improved reliability using ...
Discover how predictive maintenance from Comet extends rail component life, reduces downtime, and lowers lifecycle costs ...
Abstract: This paper advocates for the adoption of predictive maintenance strategies in production companies, highlighting the transition from traditional reactive and preventive maintenance ...