Course

Use IoT Design Anomalous Waveform Analytics for Failure Analysis

Courses
10 items

Learn about how waveform analytics can be used for failure analysis.

Learn:

Reliability aspects for MCUs and FPGAs in IoT design
Three technical challenges for achieving product reliability
Innovative software (Anomalous Waveform Analytics) to capture and analyze waveforms to enhance product reliability

Lessons

Lesson 1 - Introduction - IoT Anomalous Waveform Analytics for Failure Analysis

Provides an introduction to anomalous waveform analytics (AWA), a technique for identifying and analyzing patterns in waveform data that can indicate device failures.

Lesson 2 - Importance of MCU and FPGA Reliability

Discusses the importance of MCU and FPGA reliability in IoT devices.

Lesson 3 - Key Challenges

Discusses the key challenges in identifying and diagnosing failures in IoT devices.

Lesson 4 - Keysight Solution

Demonstrates how to use the CX3300A and Anomalous Waveform Analytics software to perform failure analysis on an IoT device.

Lesson 5 - Efficient Analysis of Large Data Sets

Discusses the challenges of analyzing large data sets of waveform data.

Lesson 6 - Demo - Overview

Provides an overview of the demo that is included in the course. The demo shows how to use Keysight's Anomaly Waveform Analysis (AWA) software to analyze waveform data from an IoT device.