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Today we are glad to share with you the solutions for Predictive Maintenance developed by Danfoss Marine to improve ships systems’ performance.
Predictive maintenance, enabled by intelligent drive edge computing and condition monitoring, has emerged as a powerful tool to optimize equipment performance, increase uptime, and reduce maintenance costs.
Advantages of Predictive Maintenance Condition Monitoring
1. Increased economic efficiency
By continually collecting and monitoring data, predictive maintenance ensures that equipment issues are identified before they escalate, minimizing the risk of downtime. This proactive approach enhances economic efficiency by preventing costly unplanned shutdowns and reducing overall maintenance expenses.
2. Higher uptime
The constant monitoring of data allows for early identification of any changes or abnormalities in equipment performance. By addressing potential issues before they lead to failure, predictive maintenance maximizes equipment uptime, ensuring smooth operations and minimizing disruptions.
3. Extended machine/equipment lifetime
Through timely maintenance and addressing potential issues proactively, predictive maintenance helps to optimize the performance and lifespan of machines and equipment. By identifying and rectifying issues before they cause severe damage, the need for expensive repairs or premature replacement is significantly reduced.
4. Optimal preventive maintenance timing
Predictive maintenance utilizes condition monitoring data to determine the best point in time for maintenance activities. By analyzing the health state of components and following the degradation curve, maintenance can be triggered before functional failure occurs. This approach ensures that preventive maintenance activities are carried out when they are most needed, preventing unnecessary downtime and reducing costs associated with reactive repairs.
5. Edge analytics and machine learning for better machine performance
The collected data from condition monitoring provides valuable insights into the performance of machines and equipment. By analyzing this data using edge analytics and applying machine learning algorithms, manufacturers can identify patterns, trends, and potential areas for improvement. This information can be used to optimize machine efficiency, resulting in better overall performance and increased productivity.
Thanks to the partnership with Danfoss as official Distributor, De Palma Thermofluid is able to supply All the Products suitable to improve Ships Systems making them more and more performing.
Do not hesitate to contact us: our staff is ready to give all information you need.
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