Artificial Evolution Research Institute (AERI)
Challenge to immortality
Eruption prediction Eruption prediction Earthquake prediction Earthquake sign Explosive detection Gun detection Dangerous object detection Deterioration diagnosis Life prediction Life diagnosis Non-destructive inspection Non-contact inspection Tunnel inspection, bridge inspection Rail inspection --High altitude electromagnetic pulse HEMP High altitude nuclear explosion High altitude nuclear explosion Electromagnetic Pulse Compton Effect Nuclear Explosion Nuclear Missile EMP Attack Gamma Ray X-ray Mass Destruction Weapon Non-lethal Intercontinental Ballistic Missile ICBM Missile Attack Ballistic Missile Defense Nuclear Weapon Neutralization --Artificial Intelligence Biocomputer AI --Geothermal Power Renewable Energy Cogeneration Power Binary Power Generation Smart Grid Climate Change Abnormal Meteorological Nuclear Power Generation Warming Environmental Destruction Environmental Conservation Global Environment Warming Gas Greenhouse Gas SDGS -Brain-computer Interface BCI Brain-machine Interface BMI Neural Network Neural Engineering Military Robot Cybernetics 6th Generation Computer Deep Learning Inference
Laser deterioration diagnosis
・ Non-destructive inspection system
AI (artificial intelligence) supported LSDS
AI (Artificial Intelligence) Assisted LSDS: Remote Sensing Technology to Prevent Aircraft Engine Explosion Accidents
Solving overlooked accident problems due to human wave tactics and human error at once Ending contact-type tapping sound inspection, ultrasonic inspection, and fluorescent penetrant inspection
AI (Artificial Intelligence) Assisted LSDS: Remote Sensing Technology to Prevent Aircraft Engine Explosion Accidents
Solving overlooked accident problems due to human wave tactics and human error at once Ending contact-type tapping sound inspection, ultrasonic inspection, and fluorescent penetrant inspection
AI (Artificial Intelligence) Laser Non-Destructive Inspection LSDS
(Artificial Intelligence RealTime, in situ, fsLaser Stereo Dynamic Shearography)
1. 1. Ends the conventional contact-type tapping sound inspection, ultrasonic inspection, and fluorescence penetrant inspection, which rely on human-wave tactics and manpower. Solved the problem of oversight due to human error at once.
2. AI (artificial intelligence) -supported, three-dimensional Stereo Dynamic Shearography remote sensing that applies Laser.
3. AI (artificial intelligence) -supported remote sensing of ultra-high-speed moving objects (aircraft) moving at 2880 km / h (800 m / sec) in the depth direction, scratches, cracks, defects, and cracks in RealTime in situ. Type non-destructive inspection.
4. From an inspection vehicle moving at 2880 km / h (800 m / sec), the inspection target within a length measurement distance of ~ 300 km can be inspected at 80 million points per second with a time resolution of 80 million points per second. AI (artificial intelligence) remotely detects scratches, cracks, defects, and cracks in the depth direction near the surface of the subject (turbine blade fan blade fan blade fan blade) by hitting sound with a laser. Non-destructive inspection by sensing.
5. Proximity to measurement ~ 300km. Time resolution / measurement rate: 80 million points per second. Spatial resolution 6 μm. AI-assisted ultra-high resolution tapping sound inspection system that applies a three-dimensional femtosecond laser.
6. Non-destructive, non-contact, non-invasive 3D tapping sound Based on the shearography map, deterioration diagnosis, life prediction, and destruction prediction of engine turbine blades (fan blades) and fan blades (fan blades) in situ during flight ..
7. Inspection during flight Non-destructive AI (artificial intelligence) support for turbine blades (fan blades) and fan blades (fan blades) of the engine of the vehicle to be inspected in situ and in real time while driving from the flying object. test.
8. Non-destructive inspection of turbine blades (fan blades) and fan blades (fan blades) of your own engine in situ and in real time from an aircraft in flight with AI support.
9. Real Time, in situ and AI for cracking, damage, breakage, and damage caused by erosion of the turbine blades (fan blades) and fan blades (fan blades) of engines during high-speed rotation of passenger aircraft, aircraft, and airplanes in flight. Deterioration diagnosis, destruction prediction, and life prediction with support.
10. Dangerous cracks that potentially exist and grow from the engine manufacturing stage, not only during inspection but also during flight, with AI (artificial intelligence) support, deterioration diagnosis, destruction prediction, life prediction in Real Time / in situ ..
[Keywords]
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