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 | Mar 18, 2021 |
| 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
Software components:
-
ThingWorx Foundation
-
ThingWorx Analytics
Previous knowledge
This guide is part of a Learning Path. We've curated other guides relevant to this one to help you learn and get up to speed as quickly as possible.
Learning Path Overview
Vehicle Predictive Pre-Failure Detection with ThingWorx Platform
Use the Edge MicroServer (EMS), Foundation, and Analytics to engineer a Smart, Connected Products play for the Automotive segment.
In This Learning Path
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Analyze
Build an Engine Analytical Model
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Experience
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Experience