Through the agreement, MISTRAS will supply Villari’s wireless crack monitoring sensor to operators managing critical steel assets in energy, transport, and manufacturing sectors.
MISTRAS Group has partnered with Villari to integrate wireless crack-detection sensors into its asset monitoring systems. The collaboration enables MISTRAS to offer Villari’s sensor technology to customers with any steel structure susceptible to cracking, advancing continuous, data-driven structural health monitoring and proactive maintenance.
Villari’s technology uses passive magnetic flux leakage to detect fatigue and crack growth in steel. It continuously monitors structural changes and transmits data wirelessly, giving operators real-time visibility into asset condition. The approach aims to reduce manual inspections and unplanned downtime while improving safety and reliability.
“This collaboration enhances how operators manage the health and reliability of their critical assets,” said Jonathan Burns, Vice President, Monitoring Technologies at MISTRAS Group. “By integrating Villari’s certified wireless crack-detection technology with our existing monitoring solutions, customers can take action before minor defects become critical, extending asset life and maintaining uptime.”
Villari’s sensors are already used across wind energy, oil and gas, transport, and manufacturing. In wind turbines, they monitor welds and bearings for early signs of stress. In oil and gas, they track fatigue in offshore supports and pipelines. Bridges and cranes use the technology to detect sub-surface cracks, and steel manufacturers rely on it to monitor wear in high-stress components.
“At Villari, our goal is to give asset owners continuous insight into the integrity of their steel structures,” said Olivier Baas, CEO and Founder of Villari. “Working with MISTRAS allows us to bring our wireless monitoring system to more industries, supported by their global expertise in asset integrity and inspection.”
MISTRAS said the partnership fits into its wider data solutions strategy, which uses advanced sensor technologies and analytics to predict failures and improve maintenance planning. The collaboration marks a step towards connected, data-driven infrastructure monitoring in sectors where asset reliability directly affects operational continuity.
