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.
Condition-based monitoring of critical assets
The future of RBI: From experience to a quantitative generation
Bridging Mechanical Integrity and Reliability-Centered Maintenance: A Unified Approach to Maximize Reliability and Cost Savings
Operations and maintenance management in midstream pipelines networks
ISO 55001:2024 and asset management: keys to the new edition
Modal analysis with piezoelectric sensors for CBM maintenance
Advanced technologies in risk-based inspection for atmospheric tanks
Operational risk assessment with AI and Machine Learning