[Free White Paper] Basics of Anomaly Detection through Vibration

By analyzing the common vibration issues in the production site and building an anomaly detection AI, we aim to capture signs of failure and improve productivity through equipment maintenance and machinery upkeep.

We offer free materials to help you understand the basics of vibration analysis and anomaly detection in production environments using AI. Using an edge AI computer (Jetson) and actual vibration sensors, we will explain the process from data collection, data preprocessing, and analysis using the MT method, to the creation of an anomaly detection app, while providing executable Python code. Please take a moment to read it. 【Table of Contents】 1. Overview 2. Vibration Data Collection 3. Vibration Data Preprocessing 4. Anomaly Detection (When there is a single cluster of normal states) 5. Anomaly Detection (When there are multiple clusters of normal states) 6. Creation of Anomaly Detection App 7. Conclusion 【Products Used】 Industrial Edge AI Computer DX-U1000 - Fanless Embedded PC / Equipped with NVIDIA(R) Jetson Nano(TM) / ARM Cortex-A57 / DC Power Supply *For more details, please refer to the PDF document or feel free to contact us.

Embedded Board Computers