Exterior noise of a high-speed train
Transport by high-speed train is becoming more widespread particularly in these climate-conscious times. How can the external noise from these moving sources be efficiently measured and assessed?
Modern society is inconceivable without industrial production. Our fast-paced global world needs operational infrastructure to support the growing needs for production, transportation and connectivity of people and products.
Production machines for stable, controlled processes often operate 24/7. Any disruption can produce scrap or downtimes, affecting business profitability. Bridges, roads, and railways must withstand decades of high traffic, increasing loads, and all kinds of weather while ensuring safety for all users. Boats and trains require the best energetic efficiency and the lowest interruption by maintenance activities.
Whether it is to ensure stable manufacturing processes, high yield and the best product quality or the safety and long life of infrastructures, predictive maintenance has long been standard practice in both industry and the public sector. Monitoring the condition of assets by observing mechanical parameters over time to detect signs of wear or damage is key to this strategy. It enables owners and operators to predict service life, plan their maintenance activities in advance, optimise operating costs, and ensure safety.
From sensor technology for IIoT applications to durable devices for long-term or on-site monitoring, HBK has long provided effective monitoring solutions for many industries and for a wide range of moving and stationary assets.
Industrial manufacturing processes require full control to achieve the best possible product quality and the highest output at the lowest possible cost. Thanks to IIoT, machines and devices in smart factories are connected to provide production and diagnosis data in real-time.
To measure mechanical parameters such as force (load), displacement, strain, or torque reliably, it’s vital to seamlessly integrate the data in machine control systems for quality assurance. In fact, it has a high impact on production efficiency as it allows operators to immediately detect deviations and initiate corrective action.
To leverage the full data potential, it’s important to use reliable, high-precision sensors and perfectly harmonized industrial electronics with edge-capabilities and a wide range of programmable interfaces for data visualization and analysis. HBK provides proven measurement solutions for cost-efficient, high-precision manufacturing.
Monitoring the condition of machinery or equipment is key to predictive maintenance. Trending parameters like vibration, acoustics, pressure, force, strain, or displacement over time allows operators and reliability engineers to detect developing faults at an early stage. They can save time and money otherwise spent on unnecessary maintenance activities or unplanned downtime.
HBK provides effective condition monitoring solutions across different industries and a wide range of assets.
Whether moving objects such as ships, planes, commercial vehicle, trains or static structures such as bridges, tunnels, pipelines, buildings or all a mix in wind energy with blades, tower and fundament – all structures suffer from wear, load, environmental condition or malfunction at some point.
To monitor overall physical and material changes over time and react before serious damage occurs, an effective monitoring system is required - either for short-term load measurement or long-term monitoring of the structure's condition. A system that's fit for purpose includes appropriate sensors, measurement data, secure data transmission, automatic data analytics, event alarms and notification, comprehensive logs, and remote diagnostics and control.
HBK's modular and scalable monitoring solutions, complemented by our competent support and service, saves time and money, provides valuable insights, and helps to increase the structure’s service life and safety.
Transport by high-speed train is becoming more widespread particularly in these climate-conscious times. How can the external noise from these moving sources be efficiently measured and assessed?
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