| dc.description.abstract | This thesis project aimed to investigate viable parameters in a condition monitoring system, which could provide an indication for machine degradation, based on the severity of the measured vibration on key components.
The next step was to identify interfacing possibilities from the condition monitoring system into the NOV Cyberbase system through the use of existing secure interface links, towards a gateway PLC located in the drilling control network.
An interfacing service was created for pulling data from the condition monitoring system, formatting the data, and transferring it towards a NOV API with a secure link to the gateway PLC.
The gateway PLC received the data on the secure link and processed it according to standardized “Severity charts”, which define certain alarm limits based on machine types. Vibration parameters where also made available for presentation and logging.
Based on the severity charts and corresponding literature, overall root mean square velocity was identified as a suitable main parameter for this project.
Additionally, the “Crest factor” was found to provide good feedback for impacts in the velocity time waveform.
To present the vibration parameters, status messages and alarming, an HMI picture was created in the NOV Cyberbase system, utilizing existing data transfer, presentation, and alarm system functions.
The HMI picture was created with the intention to display relevant process parameters for currently monitored machines, alongside machine status messages and a trend graph, which would allow the user to trend vibration parameters and process parameters over time, as well as providing the possibility to view the changes through historical data.
Existing logging systems were utilized to log the vibration data from the drilling control network and make it available for historical presentation and real-time transfer to external systems, through the use of industry standards for transfer of process parameters from automation systems.
The thesis project managed to provide a viable foundation for retrieving vibration parameters from the condition monitoring system and make them available for processing, presentation, and logging.
Thus, creating a basis for an “Early-warning” system for condition-based maintenance programs, with room for improvements and fine tuning according to relevant field data for machines to be monitored. | |