• Resumo

    Um Estudo Sobre o Uso de Modelos de Machine Learning para Manutenção Preditiva Industrial

    Data de publicação: 03/05/2023

    With Industry 4.0, the integration between physical and digital
    environments enabled some improvements within several production
    segments. Among these improvements, advancements on the
    application of machine learning algorithms to predict current and
    future states of equipment have been gaining attention, specially,
    for maintenance purposes. This research work presents a comparative
    experimental study on machine learning algorithms applied
    to classification of industrial machinery states. After training and
    evaluating models based on five different algorithms (i.e., Decision
    Tree, Naive Bayes, Support Vector Machines, XGBoost and Neural
    Network), some interesting results were obtained. Considering the
    accuracy, precision, recall and training time of each model, it was
    observed that some models performed well, while others may not
    be as suitable for solving the problem. Such good performing models
    could be used to schedule interventions on a given industrial
    equipment, avoiding production stoppages.

Anais do Computer on the Beach

O Computer on the Beach é um evento técnico-científico que visa reunir profissionais, pesquisadores e acadêmicos da área de Computação, a fim de discutir as tendências de pesquisa e mercado da computação em suas mais diversas áreas.

Access journal