www.ptreview.co.uk
24
'26
Written on Modified on
Integration of Machine Diagnostics and CMMS Architecture
Rockwell Automation and Augury have established a technology partnership to integrate automated machine health monitoring with computerized maintenance management systems in industrial automation applications.
www.rockwellautomation.com
Industrial facilities collect high volumes of operational telemetry, yet internal benchmark data indicates that less than half of collected operational data is effectively utilized for plant maintenance. Standalone machine monitoring systems generate diagnostic alerts but often lack automated mechanisms to execute maintenance workflows. Bridging the gap between fault detection and work order execution requires unified data interfaces between diagnostic agents and enterprise maintenance software.
Technical Architecture and Functional Roles
The integrated solution connects Augury's condition monitoring and diagnostics capabilities with Rockwell Automation's asset management software stack, specifically the Fiix computerized maintenance management system and the FactoryTalk Optix visualization platform.
- Augury provides the machine diagnostic layer. Its predictive monitoring system continuously analyzes vibration, acoustic, and temperature data to detect mechanical anomalies, diagnose specific failure modes, and issue corrective recommendations.
- Rockwell Automation manages the execution layer. The software ingests diagnostic findings from Augury and processes them through an integrated AI maintenance assistant to automate work order creation, schedule maintenance tasks, and allocate required resources.
Operational Workflows and System Implementation
The integrated architecture establishes a closed-loop reliability workflow across production assets:
The integrated architecture establishes a closed-loop reliability workflow across production assets:
- Anomaly Detection: Machine sensors transmit physical parameters to the diagnostic agent to establish baseline operational health and identify early-stage component degradation.
- Automated Translation: Verified diagnostic reports are automatically transferred via standardized interfaces to the maintenance management software without manual data entry.
- Execution Planning: The system automatically drafts work orders containing failure context, required parts, and recommended corrective actions for technician dispatch.
- Operations Context: Connecting machine health analytics with production scheduling via the control platform enables facilities to prioritize repairs based on operational impact and scheduled downtime.
This system configuration is designed to reduce the latency between failure identification and physical repair, ensuring process stability across discrete and process manufacturing operations. Commercial availability of the integrated offer is scheduled for September.
Edited by Evgeny Churilov, Induportals Media - Adapted by AI.
www.rockwellautomation.com
Edited by Evgeny Churilov, Induportals Media - Adapted by AI.
www.rockwellautomation.com
