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MANUTENÇÃO PREDITIVA BASEADA EM DEEP LEARNING

MANUTENÇÃO PREDITIVA BASEADA EM DEEP LEARNING

L. N Srividya / Ms. D. Banu Kranthi

72,21 €
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Editorial:
KS OmniScriptum Publishing
Año de edición:
2026
Materia
Empresa y gestión
ISBN:
9786630117967
72,21 €
IVA incluido
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Manutenção preditiva e deteção de anomalias baseadas em aprendizagem profunda para motores de naves espaciais apresenta uma estrutura inteligente que utiliza técnicas de aprendizagem profunda para monitorizar o estado dos motores de naves espaciais, identificar condições de funcionamento anormais e prever potenciais falhas antes que estas ocorram. Através da análise dos dados dos sensores recolhidos durante o funcionamento do motor, a abordagem proposta deteta padrões ocultos e sinais precoces de degradação, permitindo uma manutenção atempada e reduzindo o risco de falha da missão. Modelos avançados de redes neurais, tais como arquiteturas recorrentes e convolucionais, melhoram a precisão na deteção de falhas e apoiam a tomada de decisões em tempo real. O sistema proposto aumenta a fiabilidade das naves espaciais, minimiza os custos de manutenção, prolonga a vida útil dos motores e contribui para missões espaciais mais seguras e eficientes. Esta investigação demonstra o potencial da inteligência artificial para transformar as estratégias de manutenção preditiva na indústria aeroespacial.

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