Semiotic Labs, a company based in Leiden, Netherlands, and Germany’s SMS group signed an agreement under which the two companies will cooperate in the field of predictive maintenance. The AI-based technology developed by Semiotic Labs uses electrical signals and the data fingerprint of AC motors and other rotating equipment to monitor and analyze the condition of critical plant assets and enable reliable and early prediction of developing faults. SAM4 operates based on sensors installed directly in the control cabinet – not on the asset itself. This solution is particularly useful for the monitoring of equipment in the metallurgical industry.
Thermal IQ Optimize provides users with real-time analytics and fault modeling with early event detection at plant, equipment and process level to keep thermal-processing equipment running safely, efficiently and effectively.
Groov RIO, a family of intelligent, distributed input/output (I/O) for the Industrial Internet of Things (IIoT) and automation applications, can quickly connect traditional wired switches and sensors directly to Ethernet networks, software applications and cloud platforms without intermediary control or communication hardware.
The NIR-B-2K short-wavelength radiometric infrared borescope imaging camera is designed for continuous industrial furnace process monitoring and control applications requiring highly accurate temperature measurement.
This is a complete list of all the feature articles – by topic – that appeared in Industrial Heating in 2019. The month each article appeared in is included. All articles are hyperlinked for your convenience.
IHEA’s Fundamentals of Industrial Process Heating online learning course is scheduled to begin April 13, 2020. Students benefit from the flexible online format that includes interactive forums with other students and scheduled office hours with the instructor. It’s an affordable alternative to campus-based classes and allows students to go at their own pace.
First variations of hot runner systems started appearing in manufacturing in the mid-20th century but did not become standard in the industry until the 1980s, driven by the need for consistent quality and productivity improvements.
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