₪ Neural based Machine Control with

database-logging

Many of today's manufacturing facilities in use have such a high complexity that their control, regulation and monitoring is possible only by means of implicit models, if you want to include in addition to the normal alarm routines the aging of the plants in the automatic monitoring too.

  IngB RT&S has risen to this challenge by having

hybrid neural network architectures conditioned

sensor- based and combined its variouscomponents

into a completely unified monitoring and

alerting structure.

Connected to a on-line recording database

structure or software succeeds  not only

(of course also by SMS or email) to alert the

supervicing team but also to follow up from

the recorded sensor data to perform a

comprehensive fault and root cause analysis.

Our system is available in two configurations in industrial use, namely as online-based machine supervicing tool and as offline -based training software.