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Understanding the
condition of machinery at all times and maintaining machinery as
needed
Condition Based Maintenance (CBM) is defined as the philosophy and
practice of maintaining machinery based on its actual measured
physical condition, not on the clock, calendar, or run-time meters.
CM/CBM technology predicts how long equipment can continue to
operate, when maintenance is needed, and indicates root cause of
potential failures.
The TI-data CBM System
The CBM System is a comprehensive managed service, deployed in our
Six Step process. The CBM System remotely collects real-time sensor
data and analyzes the data to understand the operating health of the
major equipment systems on the drilling rig. Potential problems are
spotted and corrected before they become critical failures. Overall
maintenance practices and the work order processes are improved.
Replacing preventive maintenance actions with condition-based
maintenance greatly reduces maintenance, repair, and overhaul (MRO)
costs.
The CBM System utilizes multiple technologies to collect the data
from components and expert software to analyze and interpret the
data. Usable information supporting maintenance management is
distributed through the Internet or the company intranet to all
permitted users.
The CBM System is vendor neutral, flexible, and integrates with
existing or planned CMMS and Asset Management software systems. It
enables new technologies as they are developed and easily supports
the addition of new, upgraded, and sensor-enabled machinery. It can
scale globally to accommodate all rigs and equipment systems.
The CBM System improves reliability, eliminates unplanned equipment
failures, reduces maintenance costs, improves performance, and
extends the life of operating assets. Managing the maintenance of
machinery assets by intimately understanding its health and
condition at all times is a proven “best practice” and delivers a
tremendous return on investment.
Our goal is to help the offshore Driller operate and maintain their
machinery efficiently, effectively and safely.
The Six Step process for the CBM System
Step 1:
Information Audit and RCM Analysis
– TI-data will perform a Reliability Centered Maintenance (RCM)
analysis and consultation, a criticality of assets analysis, root
cause analysis for recent and frequent failures, review of current
maintenance management practices, and a collection of all historical
data related to asset performance.
Step 2:
System Design and Key Performance Indicators (KPIs)
– TI-data will provide the sensor design and engineering for
monitoring all critical equipment systems (top drive, mud pumps,
draw works) and components (bearings, gears, drives, lubricants).
TI-data will work closely with the client to develop a set of Key
Performance Indicators (KPIs) to monitor the effectiveness of the
CBM System.
Step 3:
Field Simulation – TI-data
will verify the design and functionality of the customized CBM
System. Any errors or malfunctions will be detected and corrected
before any costlier deployments in the field take place.
Step 4:
Information Delivery Design – TI-data will
provide the software and web infrastructure necessary for data
collection, processing and communications to our Maintenance
Intelligence Center, formatting and archiving all data. The client
will have access to the analysis (and the underlying data) via a
secure web portal, with visual tools available to enhance
understanding of the analysis.
Step 5: Pilot
Test – TI-data will work with the client to
select appropriate “early adopter” sites for the CBM System. All
components of the CBM System will be deployed in a “live” setting,
designed to help the maintenance operations at these specific sites.
TI-data will consult with the client to determine the length of time
required for the Pilot Test.
Step 6: Analysis,
Proof of ROI, and Implementation Plan – after the
completion of the Pilot Test, TI-data will review with the clients
the benefits realized from the deployed CBM System. TI-data will
help calculate ROI by identifying "cost opportunities" realized
through reduced downtime, maintenance expenditures, and spare parts
and materials purchases. TI-data will also help calculate ROI by
identifying increased asset lifecycles, revenue from increased
uptime, and revenue from enhanced market positioning.
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