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. In Chapter 8 of this ebook, you will also find a list of CBM solution examples for different industries.
7 Some 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.
- 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
7.1 Lifecycle Extensions
The PI System provides insights into asset history and its associated process history, such as thermal cycling, pressure cycling, event occurrences (e.g. high vibration, shutdown, etc.). 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 and current testing results.
7.2 Decision Support
In-depth analysis (including multi-dimensional analysis) of condition information related to specific assets, other nameplate and classification information can inform critical decisions. The more static nameplate and classification data may be maintained in AF (as well as your CMMS/EAM) and be available there directly to use in business intelligence type analyses, with tools such as MS PowerPivot. This information may also be exposed to reporting and analytical environments along with time-series data and aggregations using PI OLEDB Enterprise. These are usually scheduled jobs to move some PI System data into another reporting platform (e.g. MS SQLServer Reporting Services) using readily available database tools such as MS SQLServer Integration Services (SSIS). Using PI OLEDB Enterprise, users can produce quick, ad-hoc, aggregation of vast amounts of interesting data (facts), based on user-selected criteria (dimensions), to identify business opportunities.
Developing cubes for multi-dimensional analysis is a relatively simple task with today’s tools and adequate knowledge of your assets and process. Below is an example cube showing organized by facts (gas rate, gas volume, fuel ratio, etc.) and sliced by dimensions (eq type, plant, process, etc.)
7.3 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.
7.4 More focused Capital Expenditures
Having historical insights into the health of assets, either specific or by asset type (e.g. manufacturer, product code, etc.) can be used to focus capital expenditures into resources that will provide the most return on this investment.
7.5 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: