Anomaly Detection

Overview

Course Description

Cordant™ Anomaly Detection

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Who should attend

Technicians

Maintenance engineers

Objectives

Navigate the Cordant AD interface and understand the end-to-end workflow for deploying analytics.
Classify and configure assets, including shafts, bearings, and key operational properties.
Add and manage machine properties such as rated speed, rotor diameter, and bearing clearances.
Set measurement thresholds and configure run state tags to monitor machine status.
Map and synchronize tags from System 1™ or other sources to ensure accurate data alignment.
Apply extraction analytics to calculate key variables like 1X amplitude ratio and temperature ratios.
Deploy performance analytics to evaluate asset efficiency, head, and other performance metrics.
Select and clean historical data to train anomaly detection models, removing noise and shutdown states.
Deploy anomaly detection models to identify deviations in asset behavior.
Implement persistence criteria to reduce false alarms and ensure meaningful anomaly detection.
Generate and classify anomaly events based on severity and rate of change.
Identify machine operating modes using predefined tags to enhance contextual analysis.