Industrial reliability focuses on ensuring that assets perform their intended function over a defined period, minimizing failures and optimizing their life cycle. It integrates failure mode analysis, strategic maintenance, probabilistic evaluation, and risk management to guarantee operational continuity.
In the energy sector, reliability is critical to maximize availability, optimize costs, and meet production goals. Globally, trends move toward predictive models, continuous monitoring, and advanced analytics in the U.S., Europe, and LATAM.
Main topics
This section gathers technical content aimed at professionals seeking advanced tools to improve asset performance.
Key topics include:
- Failure mode analysis (FMEA/FMECA)
- Reliability-centered maintenance (RCM)
- Probabilistic analysis and Weibull curves
- Condition-based monitoring (CBM)
- Operational risk assessment (RAM, SIL)
- Performance and availability KPIs
- Asset life cycle optimization
Reliability is essential for stable, safe, and profitable operations. Challenges include operational variability, data quality, equipment criticality, and adaptation to emerging technologies.
Reliability Indicators: Keys to Optimal Performance
Planning of plant shutdown inspections
Permanent sensors in continuous industrial risk monitoring
Maintenance and reliability: The secret to operational excellence
Asset reliability: key to safe oil and gas operations
Continuous learning trends and strategies at MCC
Reliability centered maintenance (RCM) training
Creating teams of specialists: Reliability Centered Maintenance (RCM)