Critical infrastructure assets—including bridges, tunnels, rail networks, offshore wind structures, and data centres—are operating under increasing structural, operational, and environmental stresses. At the same time, owners and operators face pressure to extend asset life, minimise downtime, and reduce the risk of unexpected or catastrophic failure.
Traditional inspection based maintenance strategies are no longer sufficient for these requirements. Instead, organisations are moving toward continuous condition monitoring and predictive maintenance, enabled by advances in sensor technology, edge computing, and AI supported analytics.
This whitepaper presents a technical framework for turning raw sensor data into reliable predictive maintenance decisions. It focuses on monitoring architecture, data quality, analytics deployment, and governance—highlighting how these elements must work together to deliver trustworthy predictive maintenance outcomes.
This will bring together HBM, Brüel & Kjær, nCode, ReliaSoft, and Discom brands, helping you innovate faster for a cleaner, healthier, and more productive world.
This will bring together HBM, Brüel & Kjær, nCode, ReliaSoft, and Discom brands, helping you innovate faster for a cleaner, healthier, and more productive world.
This will bring together HBM, Brüel & Kjær, nCode, ReliaSoft, and Discom brands, helping you innovate faster for a cleaner, healthier, and more productive world.
This will bring together HBM, Brüel & Kjær, nCode, ReliaSoft, and Discom brands, helping you innovate faster for a cleaner, healthier, and more productive world.
This will bring together HBM, Brüel & Kjær, nCode, ReliaSoft, and Discom brands, helping you innovate faster for a cleaner, healthier, and more productive world.
This will bring together HBM, Brüel & Kjær, nCode, ReliaSoft, MicroStrain and Discom brands, helping you innovate faster for a cleaner, healthier, and more productive world.
