SCTI™ uses an innovative approach to predictive maintenance to address key challenges faced by industries. By utilising Acoustic Emission (AE) technology, SCTI™ enables real-time prediction of mechanical damage, allowing for early detection of potential equipment issues before they become critical. This capability helps optimize maintenance resources, estimate repair costs accurately, and transition maintenance strategies from preventive to proactive modes, resulting in smoother operations without interruptions. The system integrates a bespoke Data Acquisition platform, data filtering algorithms, and feature analytics to provide accurate and actionable insights, enabling asset owners to make informed decisions about equipment health.
