Course

Using Anomalous Waveform Analytics for IoT Device Analysis

Courses
5 items

This course discusses the use of waveform analytics to analyze IoT devices providing detailed explanations.

Learn:

Challenges that impact IoT product reliability
Analyzing large data sets efficiently
Keysight CX3300A Device Current Waveform Analyzer

Lessons

Lesson 1 - Key Challenges that Impact IoT Product Reliability

Discusses the three key challenges that impact IoT product reliability: the increasing complexity of IoT devices, the increasing number of IoT devices, and the harsh environments in which IoT devices are often deployed.

Lesson 2 - Keysight Solutions - CX3300A and Anomalous Waveform Analytics

Introduces the Keysight CX3300A Device Current Waveform Analyzer and the Anomalous Waveform Analytics software. These tools can be used to analyze large data sets of current waveforms to identify anomalous waveforms that may indicate a hardware failure.

Lesson 3 - Efficient Analysis of Large Data Sets

Discusses the challenges of analyzing large data sets of current waveforms. The Anomalous Waveform Analytics software can be used to efficiently analyze these data sets by identifying anomalous waveforms and then focusing further analysis on those waveforms.

Lesson 4 - Demo: Anomalous Waveform Analytics

Provides a demonstration of the Anomalous Waveform Analytics software to show how the software can be used to analyze a data set of current waveforms and identify anomalous waveforms.

Lesson 5 - Application Examples of Anomalous Waveform Analytics and Summary

Provides some application examples of the Anomalous Waveform Analytics software to show how the software can be used to identify anomalous waveforms in a variety of IoT devices.

Related Product

Related Use Case