Reliability-Centered Maintenance Strategy for Critical Equipment in Continuous Chemical Processing Plants

Authors

  • Bruno Moulin CHU Strasbourg, Strasbourg 67200, France Author
  • Eyal Reinstein Meir Medical Center, Kfar Saba 4428164, Israel Author

Keywords:

Reliability-Centered Maintenance, Chemical Processing Plants, Predictive Maintenance, Equipment Reliability, Failure Mode Analysis, Industrial Asset Management

Abstract

Continuous chemical processing plants rely heavily on the reliable operation of critical equipment to maintain production efficiency, process safety, and product quality under demanding industrial conditions. Equipment failures in such environments can result in significant economic losses, operational disruptions, and safety hazards. This study presents a reliability-centered maintenance (RCM) strategy for critical equipment in continuous chemical processing plants aimed at improving operational reliability, minimizing unplanned downtime, and optimizing maintenance resources. The proposed framework integrates failure mode and effects analysis, reliability assessment, condition monitoring, and risk-based maintenance planning to identify critical equipment vulnerabilities and prioritize maintenance activities. Key process equipment, including pumps, compressors, heat exchangers, reactors, and rotating machinery, were evaluated based on failure frequency, operational criticality, maintenance history, and process impact. Statistical reliability analysis and predictive maintenance techniques were employed to estimate equipment degradation trends, remaining useful life, and failure probabilities under continuous operating conditions. The implementation of reliability-centered maintenance strategies demonstrated significant improvements in equipment availability, process stability, and maintenance efficiency compared to conventional time-based maintenance practices. Results further indicated reductions in maintenance costs, unexpected shutdowns, and production losses through optimized inspection intervals and proactive fault detection mechanisms. Additionally, the integration of condition monitoring technologies and data-driven maintenance scheduling enhanced decision-making capability and operational responsiveness in complex chemical manufacturing systems.

Published

2025-03-15