ProductUpdated on 10 February 2025
TIA MachineHealth
About
MachineHealth introduces a comprehensive solution for real-time monitoring and analysis of various types of manufacturing equipment, including but not limited to CNC machines, injection molding machines, robotic assembly systems, generators, packaging lines, industrial ovens, metal presses, and conveyance systems. Our platform excels in collecting data directly from PLCs/CNCs and other machinery involved in part production, ensuring a broad applicability across multiple industries and manufacturing processes. MachineHealth's sophisticated analytics engine leverages artificial intelligence to offer predictions on the remaining useful life of machinery and its components, enabling proactive maintenance and reducing downtime. Our system not only identifies anomalies and predicts potential errors in product manufacturing processes but also suggests optimizations for enhancing overall equipment effectiveness (OEE), thereby improving production efficiency and quality.
Applies to
- Artificial Intelligence (AI)-based Tools and Technologies
- Digital Solutions and Digitalization
- AI & Data & Robotics
Organisation
Similar opportunities
Product
- Computing Technologies
- AI & Data & Robotics
- Digital Solutions and Digitalization
- Innovative, Sustainable, and High-Quality Healthcare
- Artificial Intelligence (AI)-based Tools and Technologies
Tuğberk Baysangur
Corporate Communications Specialist at Teknopar Industrial Automation
Ankara, Türkiye
Expertise
Smart Manufacturing & Industrial Data Collection
BURCU MUSAOGLU
R&D and Innovation Manager at Siskon Endustriyel Otomasyon Sistemleri San. ve Tic. A.S.
Izmir, Türkiye
Expertise
- AI & Data & Robotics
- Innovative Materials
- Construction Industries
- Computing Technologies
- Manufacturing Industries
- Smart Networks and Services
- Electronic Components and Systems
- Digital Solutions and Digitalization
- Artificial Intelligence (AI)-based Tools and Technologies
Jan Piwiński
senior researcher at Łukasiewicz Research Network – Industrial Research Institute for Automation and Measurements PIAP
Warsaw, Poland