Artificial Intelligence detection of sealing degradation is particularly valuable. Still some engineering challenges like data quality and sensor calibration requirements, integration with legacy valve systems, cybersecurity considerations as well as sensor accuracy and lifespan in harsh environments have to be overcome. Tightening global emission regulations, AI-driven monitoring can help operators maintain compliance with standards such as LDAR( Leak Detection and Repair), ISO 15848 and API standards for fugitive emissions. By learning from historical leak data, AI can suggest optimal packing materials, stem surface finishes or gland load adjustments, significantly reducing fugitive emissions. AI cannot replace sealing technology but it is enhancing it. Through improved design, material optimisation, smarter manufacturing and predictive maintenance, AI is enabling sealing solutions that are safer, longer lasting and more reliable. As industrial digitalisation expands, AI-supported sealing technology will play an increasingly crucial role in process efficiency and environmental protection.
About the author Ralf Vogel is a mechanical engineer and has been working in the sealing industry for 30 years. Currently, he is the Technical Director of the European Sealing Association.