Intelligent Diagnostic System the Plant and Tool Wear

Yu.G. Kabaldin, I.L. Laptev, D.A. Shatagin, V.O. Zotov, S.V. Sery

Abstract


Purpose: development of diagnostic techniques based manufacturing equipment fractal and wavelet analysis of vibro-acoustic signal using of artificial intelligence in real-time. The possibility of technological systems and tool wear c using HPC nVidia CUDA. Methodology: reconstruction of the attractor of a dynamical system and evaluation of its fractal dimension of parallel computing on SALT nVidia CUDA. Findings: the me-thodology of diagnosis-based manufacturing equipment fractal and wavelet analysis of vibro-acoustic signal using of artificial intelligence in real-time.


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References


Kabaldin Yu.G, Bilenko S.V., Sery S.V. Upravleniye dinamicheskim kachestvom metallorezhushchikh sistem na osnove iskusstvennogo intellekta [Manage dynamic quality metal systems based on artificial intelligence], Komsomolsk-on-Amur, Komsomolsk-on-Amur State Technical University Publ., 2004, 240 p.

Kabaldin Yu.G., Bilenko S.V., Sery S.V. Upravleniye dinamicheskimi protsessami v tekhnologicheskikh sistemakh mekhanoobrabotki na osnove iskusstvennogo intellekta [Management of dynamic processes in technological systems machining based on artificial intelligence], Komsomolsk-on-Amur, Komsomolsk-on-Amur State Technical University Publ., 2003, 201 p.

Kabaldin Yu.G., Shpilev A.M. Samoorganizuyush-chiyesya protsessy v tekhnologicheskikh sistemakh obrabotki rezaniyem. Diagnostika, upravleniye [Self-organizing process-es in technological systems machining. Diagnosis, manage-ment], Vladivostok, Dal'nauka Publ., 1998, 296 p.




DOI: http://dx.doi.org/10.24892/RIJIE/20140209

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