Predictive Maintenance - PdM  
   
 

 
Information Delivery Design
Transforming machine data into operational knowledge

Data Handling
At the Maintenance Intelligence Center, raw data is collected from all equipment located on rigs around the world. The data is characterized, conditioned, formatted, and integrated into our expert analysis software.

Statistical and Predictive Analysis
TI-data provides an advanced form of statistical analysis that combines data from multiple technologies: operational data, equipment sensor data, lubrication data and other data inputs. TI-data uses trending and variant analysis coupled with multiple regression analysis to predict when a failure will occur or the rate of degradation of a component. We use paired or multiple indicators to build predictive models to increase the confidence level of the diagnoses.

Most failures involve not just one fault but also a series of different faults developed over time. The CBM System is designed to discover and correlate the development of multiple faults early enough to plan remedies and avoid unplanned failures.

Access and Delivery to Users
Relevant information is delivered through private Internet access on the TI-data server. The information is customized into screens and reports to be shared with approved users. It presents relevant data to the client on a user-friendly web interface, and is designed to avoid missed detections and minimize false alarms. Critical alarms are communicated immediately via e-mail alerts to appropriate personnel. TI-data formats the information to integrate into any CMMS, Asset Management or ERP system in use by the Driller.

The CBM System enables intimate understanding of the health of the machinery at all times. It enables users to reduce costs and improve efficiency of the overall maintenance management process by planning work based on the actual maintenance need rather than a time based prescription.
 
 
   
 
 
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