M-HAS service and asset management capability
The system is designed and developed to suit specific customer monitoring requirements and stores this incoming sensor and SCADA data in the server. This, in a short period of time will allow a performance baseline to be established and the system completes this through the use of failure prediction and progression algorithm statements .
The data calculation from machine learning type algorithm calculations will feedback the asset’s performance to the customer in real time. This completes an asset health statement that the system will continue to track in time as a depreciating percentage useful life calculation.
The system can be set up to determine faults and safely shut down the machine. Either though M-HAS hardware control or SCADA command interface