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Optimizing Asset Analytics for Better Performance

The goal of the course is to teach users how to analyze the performance of their analytics to determine where best to spend time and effort for optimization.

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About this course

This course is for advanced users of the PI System who have implemented Asset Analytics. The goal of the lab is to teach users how to analyze the performance of their analytics to determine where best to spend time and effort for optimization, and to give some common examples of ways to optimize analytics that we have encountered working with customers.

By the end of this Course you’ll be able to…

  • Analyze the performance of individual analytics within an Asset Analytics implementation
  • Determine which analytics are worth optimizing
  • Understand some common reasons for poor analytics performance
  • Implement improvements to resolve common performance problems

Audience

This course assumes a working knowledge of PI AF and Asset Analytics. It will be most valuable to users who have already implemented Asset Analytics in their PI System, although even users starting to build out their Asset Analytics implementation could use the content of the course.

Level: Intermediate

Study Time: 3 hours

Course Access: Unlimited access to all content except the Training Cloud Environment (TCE). You have 30 days access to the TCE starting on the day you access module section "Launch Cloud Environment". 

After those 30 days you can purchase additional access with one of the two options below:

Prerequisites

During this course, we’ll be making the following assumptions:

  • You are familiar with the PI System, in particular Asset Analytics
  • You are a PI System Administrator or a Power User with the ability to create analytics
  • You have a basic working knowledge of Microsoft Excel
  • A computer that can access our YouTube content.

Further information

  • Throughout this workbook, special tips and tricks are shown in grey boxes.
  • The course is based on a modified version of the AF Example Kit for Wind Farms. The additional analytics are intentionally written to strain the Asset Analytics system and should not be interpreted as examples of well-written analytics!
  • This is a self-paced course. Any questions or assistance needed about the material can be asked in this course's space in the OSIsoft PI Square community.

Course Material

Curriculum

  • Getting Started
  • How to Navigate This Course
  • Discussion Forum
  • Offline Course Videos for Blocked YouTube Users
  • Course Workbook
  • Training Cloud Environment
  • Launch Cloud Environment
  • Video Demonstrations
  • Lesson 1 - Introduction (2:57)
  • Lesson 2 - Export Analytics Data and Analyze (16:29)
  • Lesson 3 - Build Error Checking into an Analytic (10:41)
  • Lesson 4 - Pre-calculate Variables used in Multiple Analytics (8:35)
  • Lesson 5 - Shift Calculations to PI Server (3:17)
  • Lesson 6 - Use Exit Function to Optimize Conditional Calculations (4:30)
  • Lesson 7 - Analysis of Performance Statistics Following Fixes (12:04)
  • Course Evaluation
  • How did it go?
  • Final Exam
  • Final Exam

About this course

This course is for advanced users of the PI System who have implemented Asset Analytics. The goal of the lab is to teach users how to analyze the performance of their analytics to determine where best to spend time and effort for optimization, and to give some common examples of ways to optimize analytics that we have encountered working with customers.

By the end of this Course you’ll be able to…

  • Analyze the performance of individual analytics within an Asset Analytics implementation
  • Determine which analytics are worth optimizing
  • Understand some common reasons for poor analytics performance
  • Implement improvements to resolve common performance problems

Audience

This course assumes a working knowledge of PI AF and Asset Analytics. It will be most valuable to users who have already implemented Asset Analytics in their PI System, although even users starting to build out their Asset Analytics implementation could use the content of the course.

Level: Intermediate

Study Time: 3 hours

Course Access: Unlimited access to all content except the Training Cloud Environment (TCE). You have 30 days access to the TCE starting on the day you access module section "Launch Cloud Environment". 

After those 30 days you can purchase additional access with one of the two options below:

Prerequisites

During this course, we’ll be making the following assumptions:

  • You are familiar with the PI System, in particular Asset Analytics
  • You are a PI System Administrator or a Power User with the ability to create analytics
  • You have a basic working knowledge of Microsoft Excel
  • A computer that can access our YouTube content.

Further information

  • Throughout this workbook, special tips and tricks are shown in grey boxes.
  • The course is based on a modified version of the AF Example Kit for Wind Farms. The additional analytics are intentionally written to strain the Asset Analytics system and should not be interpreted as examples of well-written analytics!
  • This is a self-paced course. Any questions or assistance needed about the material can be asked in this course's space in the OSIsoft PI Square community.

Course Material

Curriculum

  • Getting Started
  • How to Navigate This Course
  • Discussion Forum
  • Offline Course Videos for Blocked YouTube Users
  • Course Workbook
  • Training Cloud Environment
  • Launch Cloud Environment
  • Video Demonstrations
  • Lesson 1 - Introduction (2:57)
  • Lesson 2 - Export Analytics Data and Analyze (16:29)
  • Lesson 3 - Build Error Checking into an Analytic (10:41)
  • Lesson 4 - Pre-calculate Variables used in Multiple Analytics (8:35)
  • Lesson 5 - Shift Calculations to PI Server (3:17)
  • Lesson 6 - Use Exit Function to Optimize Conditional Calculations (4:30)
  • Lesson 7 - Analysis of Performance Statistics Following Fixes (12:04)
  • Course Evaluation
  • How did it go?
  • Final Exam
  • Final Exam