Automatic Algorithm to fault Detection and Diagnosis from Asensiot
Let Asensiot to process your data and lift up the faults so that your experts can focus more on realiability performance.
No bearing information needed for detection and diagnosis results
Verified field test results proves the performance of Asensiot algorithm.
Number of measured (SKF microlog system) and diagnosed machines (electric motors) was over 200 pcs.
ADAcloud detection rate 98,51 %
ADAcloud diagnosis rate 94,5 %
Number of measured (SKF microlog system) and diagnosed machines (pumps, blowers and motors) was over 250 pcs.
ADAcloud detection rate 99,33 %
ADAcloud diagnosis rate 94,04 %
As a result ADAcloud has performance that is similar to ISO certified analyst expert performance.
The example results were achieved without any bearing information and with rotating speed for the diagnosis. Also the use of rotating speed range is possible, but the rate of diagnosis will be 80% or above. Which is relatively good performance in case of starting the monitoring from the basic level.
Automated diagnosis with recommended actions will speed up the reporting work
Each automatic diagnosis can include a fixed proposal for recommended actions. These recommended actions are related to proposals in valid maintenance standards.