1. Planned predictive maintenance (PPM) in combined cycle power plants (CCPPs) has huge potential in the era of cloud computing.
2. Machine learning and analytics do not guarantee actionable insights for maintenance without effective implementation in real-world scenarios.
3. IMI Insyt, a digital engineering service, leverages historical data to identify potential issues like cracking in CCPP components, highlighting the importance of a comprehensive approach integrating software and physical inspections.
In the era of cloud computing, planned predictive maintenance (PPM) holds immense potential for transforming critical component servicing in combined cycle power plants (CCPPs). While machine learning and analytics can automate this process, actionable insights are not guaranteed. The effectiveness of PPM depends on various factors, including the quality of operating data and the need for engineering consultancy to interpret digital insights accurately.
IMI Insyt, a digital engineering service, leverages historical data to identify potential issues such as cracks in CCPP components. Preventative maintenance can be carried out effectively to reduce the risk of unplanned downtime, especially in critical assets like steam turbine bypass systems and attemperators.
The increased use of renewables and other factors can lead to system fatigue and operational stress on CCPP components. To address these challenges, a comprehensive approach that integrates modelling with physical inspections is essential for optimal outcomes in maintenance practices.
Automation is recommended in applicable areas to anticipate changing conditions accurately and resolve potential issues. By implementing this approach with the IMI Insyt framework, plant managers can identify root causes of cracking, recommend remedial actions, and guard against future downtime effectively.
In conclusion, a combination of digital tools, historical data analysis, and in-person engineering consultancy is crucial for addressing complex engineering challenges in modern power plants. By effectively managing potential risks and avoiding costly downtime, plant managers can ensure the reliability and performance of CCPP components.