This Lab was part of TechCon 2017 in San Francisco. The Lab manual used during the instructor led interactive workshop is attached. Lab VM is available via OSIsoft Learning
Traditionally, the PI System has worked with process data from plant instrumentation such as PLC and SCADA. However, newer IoT and edge device capability allows you to bring data from condition monitoring systems such as vibration, infrared (thermography), acoustic etc. to the PI System. Take this lab to learn how to use condition monitoring data along with process data in your condition-based maintenance programs to improve equipment uptime. The lab will also include the use of alert roll-ups, watch lists, KPIs and others for a holistic view of asset health and reliability.
The learning objectives for this lab are:
- Understand the condition monitoring (CM) data collection process –with a live demo of a hand-held device used for collecting vibration, infrared and acoustic data for a motor
- Understand how the condition monitoring data is transformed and written to PI
- Configure condition assessment calculations for the CM data and recognize the use of dynamic thresholds for the CM data
- Incorporate CM data such as oil analysis (that may reside in external databases) in the condition assessment calculations
- Incorporate manual input CM data (aka operator rounds/inspections) from PI Manual Logger
- Create displays, notifications, alerts watch list etc. using various PI System capabilities and tools
- Review the PSE&G customer use case on combining PI System data with CM data for calculating asset health score
In this lab, we will use a hand-held device to collect vibration, infrared, and acoustic data. The device is a Windows 10 based unit (it can also be an iPad) with suitable attachments based on National Instruments technologies. Please see AR-C10 for hardware details.
We will also incorporate CM measurements via devices from Fluke (Fluke Connect)
The lab book is attached.