Build an Engine Analytical Model
Generate engine-failure predictions and gain insight into your data with machine learning.
Guide Concept
This guide will upload captured data from an Edge MicroServer (EMS) "Engine Simulator" to ThingWorx Analytics Builder.
Following the steps in this guide, you will create an analytical model, and then refine it based on further information from the Analytics platform.
We will teach you how to determine whether or not a model is accurate and how you can optimize both your data inputs and the model itself.
Guide Info
| Level | Intermediate |
| Est. Time | 60 Minutes |
| Published | Sep 09, 2020 |
| Author | Jason Wyatt |
You'll learn how to
- Load an IoT dataset
- Generate machine learning predictions
- Evaluate the analytics output to gain insight
Things used in this guide
Environment:
This guide may be completed in any environment in which you have access to both ThingWorx Foundation and Analytics.
This includes both the hosted trial, as well as a combination of both the downloadable Foundation and downloadable Analytics Server trials.
Software components:
ThingWorx Foundation
Previous knowledge