Asset Health 

Do you have any problems in easily correlating data between roundtrips, the lubrication program, vibration analysis, IR thermography?    

In industrial maintenance management, the maintenance strategy is executed via a work management process. This process generates an enormous amount of data from a variety of sources. Whether it’s vibration monitoring programs, oil analyses, or operator rounds, these activities create a continuous flow of crucial information.

1. Data often siloed…

Data from these different sources, such as PDF reports sent by vibration technicians or oil analysis laboratories, are often isolated from each other. This fragmentation complicates the overall interpretation of equipment health, particularly when problems occur on the same asset.  

To illustrate this problem, let’s take the example of a recent incident. A vibration technician had identified a potential bearing failure on a pump, while an oil analysis revealed the presence of water in the sump. In the end, the oil analysis proved correct, whereas the technician had confused frequencies, mistakenly believing it to be a bearing failure.  

2. …which need to be visualized together in their entirety, to make better, faster decisions

Thanks to a consistent overview of asset health, our customer was able to avoid costly mistakes and save thousands of dollars in repairs. This example underlines the crucial importance of an integrated approach to asset health management.

 3. Global View of Asset Health and Plant Performance: The Spartakus APM software

Spartakus APM provides a comprehensive overview of asset health and overall plant performance by integrating all preventive maintenance (PM) and predictive maintenance (PdM) results into a single tool.  

This allows you to: 

• Track of all your historical records on asset health and maintenance activities. This data is valuable for trend analysis, schedule compliance and benchmarking.  
• Monitor KPIs through comprehensive dashboards which enables you to make proactive, data-driven decisions and prioritize corrective actions. This includes Health evolution, Operational Risk ($), Most Common Failures, Schedule Compliance, and Bad Actors. 
• Identify which areas are cost-effective. Every time an alert is opened, a potential cost can be associated to it. When the alerts are addressed and closed prior to failure, these costs can be marked as savings. The savings are progressively added and can be tracked according to their technology. 

Conclusion

Asset health is not just a question of reactivity. By integrating all available data into a coherent overview, better decisions can be made faster. This proactive approach makes it possible to anticipate failures before they become critical, improving equipment performance and durability.