TechSolve Implements AI- Based Equipment Diagnostics to Improve Plant Productivity BENEFITS TO OUR NATION By leveraging artificial intelligence to predict potential equipment failures and
Project Objective
To develop an edge computing solution for an MTConnect, AI- based Prognostics and Health Management (PHM) system focused on collecting and analyzing equipment signals to determine the remaining useful life for manufacturing assets.
Benefits to Industry
American industry will experience a significant reduction in downtime, enhanced operational efficiency, and prolonged machinery lifespan when artificial intelligence tools are implemented. Specifically, these tools optimize maintenance strategies by predicting potential equipment failures. This results in substantial production cost savings and also also ensures continuous and reliable production. The adoption of AI-powered machine health management systems strengthens the resilience and competitiveness of American industry. This technological integration fosters innovation, supports sustainable practices, and positions the nation as a manufacturing technology leader.
Technical Approach
The solution will be developed, evaluated, validated and demonstrated using spindle bearings degradation data and cutting tool degradation tests from TechSolve’ s spindle test-bed and machining centers, respectively.
Accomplishments
- Integrated the following manufacturing equipment with the CESMII Smart Manufacturing Innovation Platform (SMIP): Spindle test-bed o CNC Machines o
- Developed an edge computing and data transfer solution through MTConnect schema.
- Established a cloud-based repository for machine health data in MTConnect format.
- Leveraged the CESMII SMIP to develop an operator dashboard.
Deliverables
• Not reported.
Reusable Outcomes
- CNC Machine SM profile
- Spindle Test-Bed SM profile