Traditional monitoring provides insufficient information and a lot of data remains unused. Performance for Assets offers a solution that includes the following steps:
Our combination of process/asset knowledge and analytics through dedicated hybrid models (physical & data driven) is the key to success!
Many companies have an online monitoring system in place to track machine behavior and to stop when pre-set alarm values are reached. Some companies also use physical models basic on thermodynamics, mechanical dynamics or meteorology.
Performance for Assets has developed a unique hybrid model that combines Online Monitoring with Physical Models and Historic Data. The hybrid model improves machine behaviour knowledge, increases model robustness and identifies causes more precisely. Its main advantages over traditional online monitoring are:
Detect degradation or performance drift at an early stage to limit impact
Algorithm learns root cause of failure and adapts itself automatically
Knowledge of one machine’s behavior can be applied to multiple machines to avoid failures