Acoustic diagnostic methods detect faulty components or critical processes quickly and precisely due to their unique noise patterns. 🔊 For many industries, this opens up possibilities for monitoring the condition of wear and other parts. In addition, acoustic diagnostic techniques can be combined with the state-of-the-art methods of artificial intelligence. This enables automatic and reliable analysis in real time. 👍 In our NDT4INDUSTRY online seminar series, Dr. Ivan Kraljevski presented acoustic diagnostic solutions developed at our institute for various applications, such as anomaly detection in sensor networks for non-destructive testing in aerospace and structural health monitoring of machine components. Missed it? Then register here for the recording 👉 https://bit.ly/3H5cCiy #acoustic #diagnostics #ai #ndt #nondestructivetesting
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Simultaneous interpretation by Artificial Intelligence is now commonplace. So what about machines and humans? We have researched and developed devices that use ultrasound for joining and have provided them to industry. And finally, we can now understand the noise that machines whisper to us. Yes, we can judge the quality of a joint by the sound it radiates during joining. Our experimental equipment determines the quality of the joining immediately after the process is finished. Ultrasonic joining takes less than a second, but it is enough time to make a decision of okay or no good. We will soon install a demo-system in my laboratory. Would you like to try it out? #AI #BATTERY #EV #LiB #Joining #DeepLearning
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At the 2024 AMPP Conference + Expo, physicist Michio Kaku envisioned a future where AI and machine learning transform the coatings and corrosion prevention industry. This future is now for four Trondheim researchers—Magnus Wangensteen, Tonni Franke Johansen, Ali Fatemi, and Erlend Magnus Viggen—who presented their paper on "Pitting Corrosion Detection by Ultrasound Monitoring." They leverage AI to detect early-stage pitting corrosion, a challenging task for traditional methods. Their innovative technique uses ultrasound sensors and machine learning to identify minute signal changes, aiming to revolutionize diagnostics in corrosion monitoring. This breakthrough exemplifies AI's potential in enhancing industrial applications and corrosion detection. Read about it at https://lnkd.in/gBJxkGvn #AI #MachineLearning #CorrosionPrevention #UltrasoundTechnology #Innovation #Industry4_0 #MaterialsScience #TechInnovation #NDT #Research #Engineering #SmartTechnology #AMPP #FutureOfWork
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Discover the world of multiphase flows with Theodore (Ted) J. Heindel's keynote presentation "X-ray Flow Visualization: Techniques and Applications for Multiphase Flows" at the Advanced Imaging for NDT conference. From natural phenomena to industrial processes, explore noninvasive techniques to visualize hidden flow interiors without disturbing the flow. Learn more and register today for Advanced Imaging for NDT conference, presented by ASNT in collaboration with Waygate Technologies, at https://hubs.ly/Q02qCwwz0 #asnt #ndt #nondestructivetesting #ndtcommunity #inspection #advancedimaging #conference #ai #artificialintelligence #machinelearning #xray
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Meet the Machines Can See 2024 Speaker's Latest Groundbreaking Projects Dr. Pascal Fua, a Professor at EPFL (Swiss Federal Institute of Technology) and head of the Computer Vision Lab, has been pushing the boundaries of ML and CV with three exciting new projects. 1. Curvilinear Structure Delineation: Dr. Fua and his team have developed an innovative neural network that combines modern convolutional architecture with transfer learning. This system, designed for curvilinear structure detection, has been successfully tested on helicopters for obstacle avoidance, demonstrating impressive performance in terms of detection distance and accuracy. https://lnkd.in/e9HUYE7b 2. Vision-based Detection System for Low-flying Aircraft: In collaboration with Daedalean AI and supported by Innosuisse, the lab led by Dr. Fua has developed a vision-based system to help low-flying aircraft detect and avoid power lines and similar obstacles. This project showcases the practical applications of machine learning in enhancing flight safety, particularly in challenging environments like Alpine valleys. https://lnkd.in/etvSDTCT 3. ImHeart: In an upcoming MICCAI paper, Dr. Fua introduces ImHeart - a sophisticated latent variable model utilizing implicit functions to model complex heart structures. This groundbreaking approach aims to capture the intricate relationships between different heart components, potentially revolutionizing medical imaging and analysis. https://lnkd.in/e9vYch_n Stay tuned for more exciting AI developments from the Machines Can See 2024 Speakers! #MachineLearning #ComputerVision #AI #Aviation #MedicalImaging #MCS2024 #MachinesCanSee #MachinesCanSee2024
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4 Key Measurement Advantages of the SenseAI RSL51 Cylinder Sensor 🌟 Experience cutting-edge measurement technology with our new SenseAI RSL51 sensor. Here’s why our advanced sensor stands out: 🔹Superior Precision Our SenseAI RSL51 sensor leverages robust Hall effect technology to measure the magnetic field generated by a magnet inside the piston. This allows for highly accurate data capture in three dimensions as the magnet travels along the sensor tube. 🔹Advanced Data Analysis The data collected by the Hall sensors is analyzed by a sophisticated artificial neural network. This ensures that the information is processed with unparalleled accuracy and reliability. 🔹Lightning-Fast Result The position data is determined and presented as an analogue voltage value within a thousandth of a second. This rapid processing capability ensures that you get real-time, precise measurements without any delay. 🔹Enhanced Efficiency and Reliability The SenseAI RSL51 is engineered to revolutionize efficiency and reliability in various applications. Its precision engineering ensures consistent performance, making it a dependable choice for your measurement needs. ➡️ Learn more about the exceptional features of SenseAI RSL51 and why it is the ideal choice for your application: https://lnkd.in/dye7GTB9 #RegalComponents #SenseAI #MeasurementTechnology #Innovation #EngineeringExcellence #PrecisionEngineering
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FLUID-MAGNETIC SPLITTING #CFD #fluiddynamics #electromagnetic #ML #AI
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Advancing Non-Destructive Imaging: A Novel AI Hybrid Approach Enhances Electrical Impedance Tomography #1DCNNalgorithms #accuracy #AI #AIPAdvances #ANDmethod #artificialintelligence #buildingcollapses #buildinghealthassessment #detection #disasterprevention #EIT #electriccurrent #electrodes #Engineering #foreignobjects #IGN #imagingtechnique #llm #machinelearning #MachineLearningAlgorithms #materialinspection #NDEtechniques #nondestructivetesting #reconstruction #researchfindings #resolution #safetyscreening #sizeerrors #structuralhealthassessment
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Just before Holger Kenn's talk on 'AI in the Machine' at #Automate2024, here's a link to a report from earlier this year on Electro Optics on how artificial intelligence is being used in laser processing: https://lnkd.in/eNbe9DEG
How is artificial intelligence used in laser processing?
electrooptics.com
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📢 New on Protect & Perform: "Researchers Use Machine Learning to Detect Pitting Corrosion" 🔍 Researchers in Trondheim, Norway, are making significant strides in detecting pitting corrosion in steel using machine learning and ultrasound technology. Pitting corrosion, a localized form of corrosion that creates small cavities in metal, is particularly challenging to detect with traditional methods due to its small size and the interference effects near reflective surfaces. Read more ➡️ https://ow.ly/vYbw50SHpac #AMPP #Pitting #Coatings #Corrosion #MachineLearning #CorrosionPrevention #Research #AI #ArtificialIntelligence
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Explore with me the new technologies behind X-ray inspection!
🔍 Dive into the latest in 𝗫-𝗿𝗮𝘆 𝗶𝗻𝘀𝗽𝗲𝗰𝘁𝗶𝗼𝗻 with Sara Ziliani, Sales Engineer at Hamamatsu Photonics. Discover how deep learning enhances contaminant detection while reducing noise. Explore the integration of X-ray simulation and advanced techniques, providing precise solutions for food and non-destructive testing industries. 👉 Read article: https://lnkd.in/dM2T528K #XrayInspection #DeepLearning #IndustryInsights
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