Active thermal inspection of composite materials with the use of neural networks
Source abstract
Abstract
The results of the processing of experimental data on the inspection of a carbon-fiber composite with the use of two neural networks that provide both the qualitative detection of latent flaws and the elements of flaw metering are considered.
Only a short abstract or summary was supplied by the source.
Source: openalex_inverted_index · Quality: short
Research context
OpenAlex topics: Thermography and Photoacoustic Techniques · Advanced Sensor Technologies Research · Mechanical and Thermal Properties Analysis
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
References (10)
Show source-provided references
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