The energy infrastructure is aging and maintenance costs for energy companies are increasing every day. Power producer companies also becoming increasingly concerned about production downtime due to unscheduled failures and breakdown of machinery, and optimization of power production process.
In simple terms, predictive maintenance is proactive maintenance that ensures assets do not fail and provides maintenance on time before asset failure. So that asset maintenance expenses are decreased, and asset uptime & performance is increased. Predictive Maintenance is a progressive way of asset management and maintenance which leads to increased energy production and higher ROI through the way of failure prediction before they occur.
4th Predictive Maintenance in Power & Utilities 2023 will gather experts and decision-makers from the renewables and utilities industries, namely, from power generation, production, O&M, asset management, digital & innovations, data science & data management, distribution and transmission divisions to discuss ongoing challenges, trends and build business relationships through productive networking and knowledge-sharing.
Bringing PdM related challenges to a discussion, we will demonstrate how a well-established PdM affects overall power generation and ROI in terms of effective asset management, reduced downtime, and better outage control.
- Full adoption of AI-driven Maintenance
- Data Analytics for PdM
- Data Driven Maintenance Strategy
- The Reliability of Digital Twin & Predictive Maintenance
- Asset Retirement Obligations
- Combining Multiple Technologies & Leveraging Predictive analytics
- Why PdM Programs Fails?
- Practical Implementation of IoT Devices for Remote Monitoring
- Maximizing the Value of Predictive Sensors Across the Company
- Vibration Analysis for PdM
- Harmony of different PdM Models
- How Can PdM Deliver Long Term Impact on Overall Equipment Effectiveness
- Practical Implementation of IoT Devices for Remote Monitoring
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