Aingura IIoT

Join our team at the Innovation Water Sustainability (#IDWS) Conference in Jeddah, Saudi Arabia!

🔧 Introducing Aingura IIoT’s Roto Dynamic Health Monitoring System 🔧 Our new system is designed to improve the management of critical infrastructures in sectors like airports, desalination plants and mining, optimizing the monitoring of conveyor belts, elevators, pumps, and engines. With Edge Computing and AI, we offer a centralized approach that reduces costs, boosts efficiency, and enabling predictive maintenance. Key benefits: ✅ Increased reliability and efficiency ✅ Lower costs (15-20%) and reduced downtime (70-90%) ✅ Increase of useful life (10-25%) #UtilityManagement #AI #EdgeComputing #Maintenance #AinguraIIoT

Nos sentimos orgullosos de haber participado en el evento organizado por Titanium Industrial Security S.L. durante la visita del Vicepresidente de la European Commission, Margaritis Schinas, al País Vasco. Fue un honor presentar nuestros proyectos de monitorización de puentes y mejora de sistemas de inspección aeroportuarios, así como el proyecto para optimización de los consumos industriales FLEX4FACT Project, financiado por la Unión Europea. #CiberseguridadIndustrial #Innovación #NextGenerationEU #AinguraIIoT #ComisiónEuropea #TeamAingura

📢 Exciting News! 🎉 We are thrilled to announce that our latest article has been published in the Journal of Sound and Vibration! 📄 Title: "𝐀 𝐧𝐨𝐯𝐞𝐥 𝐦𝐨𝐝𝐞𝐥-𝐛𝐚𝐬𝐞𝐝 𝐂𝐚𝐮𝐜𝐡𝐲-𝐒𝐜𝐡𝐰𝐚𝐫𝐳 𝐝𝐢𝐯𝐞𝐫𝐠𝐞𝐧𝐜𝐞 𝐜𝐨𝐧𝐝𝐢𝐭𝐢𝐨𝐧 𝐢𝐧𝐝𝐢𝐜𝐚𝐭𝐨𝐫 𝐟𝐨𝐫 𝐠𝐞𝐚𝐫𝐬 𝐦𝐨𝐧𝐢𝐭𝐨𝐫𝐢𝐧𝐠 𝐝𝐮𝐫𝐢𝐧𝐠 𝐟𝐥𝐮𝐜𝐭𝐮𝐚𝐭𝐢𝐧𝐠 𝐬𝐩𝐞𝐞𝐝 𝐜𝐨𝐧𝐝𝐢𝐭𝐢𝐨𝐧𝐬" 🖋️ Authors: Cristian Eduardo Puerto Santana, Carlos Ocampo-Martinez, and Javier Díaz Rozo, PhD In this article, we introduce a cutting-edge methodology for monitoring gears operating under fluctuating angular speed, a really important tool for our own AI-based monitoring technology development. Here are some of the key highlights of the paper: 🔹 𝐈𝐧𝐧𝐨𝐯𝐚𝐭𝐢𝐯𝐞 𝐆𝐞𝐚𝐫 𝐌𝐨𝐧𝐢𝐭𝐨𝐫𝐢𝐧𝐠: Our proposed methodology offers a novel approach for gears monitoring, ensuring precise diagnostics even under varying speed conditions. 🔹 𝐀𝐝𝐯𝐚𝐧𝐜𝐞𝐝 𝐓𝐞𝐜𝐡𝐧𝐢𝐪𝐮𝐞𝐬: The methodology leverages sophisticated signal processing and system identification techniques. 🔹 𝐂𝐚𝐮𝐜𝐡𝐲-𝐒𝐜𝐡𝐰𝐚𝐫𝐳 𝐃𝐢𝐯𝐞𝐫𝐠𝐞𝐧𝐜𝐞: We establish a unique condition indicator for gear diagnosis based on the Cauchy-Schwarz divergence, enhancing diagnostic accuracy. 🔹 𝐄𝐱𝐩𝐞𝐫𝐢𝐦𝐞𝐧𝐭𝐚𝐥 𝐕𝐚𝐥𝐢𝐝𝐚𝐭𝐢𝐨𝐧: Rigorous experimental validation was conducted using two different rotodynamic setups to ensure the robustness of our approach. 🔹 𝐂𝐨𝐦𝐩𝐚𝐫𝐚𝐭𝐢𝐯𝐞 𝐀𝐧𝐚𝐥𝐲𝐬𝐢𝐬: Our methodology has been compared with existing methods in the literature, showcasing its superiority and effectiveness. This work represents a significant advancement in the field of gear monitoring and diagnostics. We are proud to contribute to the ongoing research and development in this area. 📚 Read the full article: https://lnkd.in/dB6CRzYD. #Research #Engineering #GearMonitoring #SignalProcessing #SystemIdentification #MechanicalEngineering #Innovation #JournalPublication #Teamwork #JournalofSoundandVibration

I’m delighted to announce that today, we finally presented our Special Session, “Advances in Machine Learning and Data-Driven System Identification Techniques for Structural Health Monitoring,” at the IABMAS 2024 - Copenhagen. A special thanks to my co-chairs, Concha Bielza, Carlos Ocampo-Martinez and Pedro Larrañaga, for their invaluable help and support. Also, as part of the Special Session, my colleagues Rafael Sojo Garcia and Cristian Eduardo Puerto Santana could present our latest developments related to feature extraction and transfer learning applied to structural health monitoring. #shm #bridgemonitoring #machinelearning #artificialintelligence

Good day to showcase our solutions within a multinational audience!

Last week, we successfully deployed our first bridge health monitoring system in #India as part of a PoC with the Ministry of Roads, Transportation and Highways #MoRTH. It has been a harsh week: a heat wave with temperatures over 48°C, sandstorms, power outages, and more. Despite these challenges, it feels great to have the system up and running! The #BHMS has been deployed at Naini Bridge, located in Prayagraj, India. It is a 1,510-meter cable-stayed #bridge completed in 2004. It features a 260-meter central span supported by a harp of cables, using high-strength concrete and steel. Kudos to my trip partners Gaizka Virumbrales Méndez, Albert Díaz and Aingura IIoT team! #StructuralEngineering #NainiBridge #AI

🌉 𝗦𝘂𝗰𝗰𝗲𝘀𝘀 𝗦𝘁𝗼𝗿𝘆: Optimizing Bridge Maintenance Across the USA 🌉 Discover how our machine learning-driven approach has streamlined maintenance efficiency for various bridges in the USA, enhancing safety and cost-effectiveness without the need for complex theoretical models. By introducing innovative KPIs and real-time monitoring systems, we've achieved a 25% reduction in maintenance costs while proactively preventing structural issues, ensuring safer journeys and long-term sustainability for our clients. Learn more: bit.ly/43isbQc #InfrastructureInnovation #MachineLearning #CostEfficiency

🔍 𝗦𝘂𝗰𝗰𝗲𝘀𝘀 𝗦𝘁𝗼𝗿𝘆: Desalination Plant Optimization 🔍 We achieved a significant reduction in unscheduled downtimes (>85%) and an 8% decrease in energy consumption for a desalination plant, by implementing a machine learning model for high-pressure pump monitoring. This approach led to a 50% cut in preventive maintenance costs and a return on investment within 2 years, enhancing operational continuity and energy efficiency. Learn more: bit.ly/4cfwMGU

🌉 𝗦𝘂𝗰𝗰𝗲𝘀𝘀 𝗦𝘁𝗼𝗿𝘆: Semi-Automated Bridge Analysis 🌉 Explore our latest innovation in bridge safety with semi-automated analysis technology. By continuously monitoring structural health and focusing on deviations, we ensure bridges remain open as long as safety is maintained. Our system abstracts weather impacts, allowing targeted interventions only when necessary, guaranteeing bridge safety while minimizing disruptions to traffic. With the ability to monitor maintenance results, our solution offers peace of mind and reliability for bridge operators. Discover more: bit.ly/3Pjy0qO #BridgeSafety #Innovation #StructuralAnalysis