Publications

What if you could detect critical piping defects faster—without scanning everything? This paper reveals how a hybrid MMM–PAUT approach pinpoints high-risk areas first, then validates them with precision, delivering higher detection confidence, lower costs, and smarter inspections in real oil & gas applications. Through a real case study in oil & gas operations, it demonstrates how targeted, high-precision inspections can outperform conventional methods.

Move beyond detection—into prediction. Detecting cracks beneath insulation has always been a costly and complex challenge. This study showcases how Metal Magnetic Memory (MMM) leverages in-situ magnetic field behavior to uncover and prioritize hidden cracks in insulated pipe supports. With proven field correlation between signal trends and actual crack formation, it introduces a powerful shift toward predictive, non-invasive inspection strategies.

​How do you inspect what you can’t access? This paper explores how HATs technology unlocks hidden corrosion in aboveground storage tanks—without intrusive methods. By combining acoustic sensing with intelligent data analysis, it reveals a new way to detect, size, and understand corrosion before it leads to failure.

What if metal could “tell” you it’s about to fail?
This paper explores how magnetic signals naturally emitted by steel can reveal its stress condition in real time. By linking tensile stress with magnetic field intensity, the study opens the door to faster, non-destructive failure detection. A compelling step toward smarter, predictive maintenance in critical industries.

Buried pipes… but not hidden problems.
This paper reveals a novel way to detect leaks and defects in underground GRE piping using Hybrid Acoustic Technology Systems (HATs). By capturing real-time acoustic signals, the method pinpoints critical anomalies with high detection accuracy—without excavation. A smarter, faster way to uncover what’s happening beneath the surface.