There's nothing worse than putting your time and effort into taking this course, only to find out... your organization is still hesitant to consider implementing CBM with the PI System. Need help convincing your department and manager? Here are the examples of additional business opportunities you can discover by enabling proactive asset monitoring strategies with the PI system. Note: This is an excerpt from the CBM Guide eBook Chapter 6. Additionally, in Chapter 7 of this ebook, you will also find a list of CBM solution examples for different industries.
6 Enabling opportunities
Once the PI System infrastructure has enabled condition monitoring (CM) and CBM through process information and condition indicators, there are many additional opportunities for business value including:
- lifecycle extensions
- decision support
- engineering desktop (system health indicators)
- improved operations
- work prioritization
- more focused capital expenditures
- enabling more effective business intelligence (BI)
- improved efficiencies in root cause and other failure analysis efforts
6.1 Lifecycle Extensions
The PI System provides insights into asset history and associated process history, such as thermal cycling, pressure cycling, event occurrences (for example, high vibration and shutdown). This information can be useful in determining actual equipment life remaining. For example, IEEE provides a standard method to calculate useful transformer life available based on asset process history, load duration curves, thermal effects and current testing results.
6.2 Decision Support
In general, the more information we have about an asset the more effective decisions we can make. Surfacing condition information and asset health indicators to a wide variety of business users can positively affect business outcomes. Decisions can be operations-based, such as what equipment to run based on current condition and run-hour or start/stop history, or what loads to allow on a transformer given its condition.
Condition information can also inform maintenance and reliability engineers in servicing equipment and in better understanding which maintenance procedures are effective and which are not.
6.3 Work Prioritization
Health indicators derived from CBM solutions can also be used to prioritize work related to specific assets, system or processes. If similar work is planned on assets serviced by similar resources, the health of the asset or system can be employed to determine which maintenance to focus on first.
6.4 More focused Capital Expenditures
Historical insights into the health of assets, either specific or by asset type (for example, manufacturer and product code), can be used to focus capital expenditures into resources that will provide the most return on this investment.
6.5 Enabling more effective BI
Many businesses rely on time series data as a source of business-critical operations insights. PI Integrator for Business Analytics allows you to easily bring the PI System data into Business Intelligence (BI) tools including but not limited to Tableau Tibco Spotfire, QlikView, and Microsoft Power BI for reporting and analytics. BI client tools offer the ability to run retrospective analyses on a large set of the PI System data, providing insights into asset information that may be combined with other process and business-focused information to enable more effective insights.
Find out more about our PI Integrator for Business Analytics in this 3 min YouTube video:
In-depth analysis (including multi-dimensional analysis) of asset condition, nameplate and classification information can provide critical insights. Static nameplate and classification data may be maintained in AF, and available to business intelligence tools such as MS PowerPivot.
This information along with time-series data aggregations may also be exposed to reporting and analytical environments using PI OLEDB Enterprise or one of the PI Integrators. Scheduled jobs can move some PI System data into another reporting platform such as MS SQL Server Reporting Services using readily available database tools such as MS SQL Server Integration Services (SSIS).
PI OLEDB users can quickly aggregate vast amounts of interesting data (facts) based on user-selected criteria (dimensions) to identify business opportunities.
Cubes for multi-dimensional analysis are relatively simple to generate using modern BI tools, and with adequate knowledge of your assets and processes. Figure 35 is an example of a cube organized by facts (gas rate, gas volume and fuel ratio) and sliced by dimensions (equipment type, plant, process and time).