DAMAGE CONTROL METHODOLOGY Industrial Predictive Maintenance
Damage Control Methodology is an adaptive methodology developed by IDEA, based on creating a predictive maintenance system for the analysis and monitoring of damage mechanisms that affect the industry’s fixed and dynamic equipment.
What is predictive maintenance?
Predictive maintenance is highly-improved preventive maintenance, since it involves a considerable investment in extra monitoring equipment on the asset in question. Equipment status variables that are relevant to its proper functioning can be known at any time by the manufacturer itself or experts.
At this point, IDEA goes a step further in predictive maintenance. Thanks to the Damage Control Methodology developed by IDEA,generated data can belinked in the BIM model and used as an interface for a simple, intuitive and much more straightforward understanding.
This maintenance methodology is booming thanks to new technologies that are also growing exponentially in the industrial field, such as the Internet of Things, Big Data and Artificial Intelligence..
Its purpose is none other than to anticipate any failure, whatever it may be. In other words, the difference between this and preventive maintenance is that preventive maintenance changes spare parts regardless of their state. On some occasions it gets it right, on others the spare part is changed prematurely and on others still, the most expensive ones, the spare part fails without fulfilling its useful life. That is why predictive maintenance has become an indispensable tool for maintenance supervisors at a large-scale plant that executesprocesses using critical equipment.
What can this methodology provide us with?
This method, besides being based on the norms and standards that regulate each specific industry, provides a series of benefits:
Adaptive methodology is based on a development process by different nodes (generic and specific) that are configured according to industry needs.
Predictive maintenance 4.0:
Obtaining an efficient reliability and maintenance system, minimising unplanned maintenance and breakdowns, developed in line with Industry 4.0 technologies.
Damage mechanism analysis and Risk-Based Inspection (RBI):
Monitoring failure probabilities and their economic consequences, improving the inspection plan and obtaining a specific risk map for each piece of equipment.
Data generated using this methodology can be linked into the BIM model and used as an interface for a simple, intuitive and much more comprehensible understanding.
What does Damage Control Methodology encompass?
- Specific industry/plant analysis.
- Integrity Operating Windows (IOW).
- General and specific risk map by equipment and lines.
- Links theoretical and practical damage mechanism knowledge.
- Inspection plan based on damage mechanisms.
- Development of predictive software with graphical interface.
- Dynamic monitoring and machine learning.
- Artificial intelligence.
- Big Data.