Artigos

URI permanente para esta coleçãohttps://rigalileo.itegam.org.br/handle/123456789/219

Artigos produzidos de convênios e parcerias com IES

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    Metodologia de avaliação da qualidade do ruído no posto de trabalho baseada em lógica fuzzy
    (INSTITUTO DE TECNOLOGIA, 2010) NOGUEIRA, Maria Amélia Costa Saraiva; COSTA JÚNIOR, Carlos Tavares da; LEITE, Jandecy Cabral.; Prof. Dr. Rui Guilherme Cavaleiro de Macedo Alves
    This paper proposes a methodology based on fuzzy logic to evaluate noise quality in industrial workplaces, considering variables such as noise level and working hours. The model uses membership functions and fuzzy rules to classify the environment as "satisfactory" or "at risk." The application of the method in a metalworking industry demonstrated its effectiveness in identifying unhealthy conditions, contributing to the prevention of occupational health problems.
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    Proposta de um algoritmo para diagnosticar a qualidade de energia elétrica utilizando lógica fuzzy
    (INSTITUTO DE TECNOLOGIA, 2010) GONÇALVES, Benevaldo Pereira; LEITE, Jandecy Cabral; COSTA JUNIOR, Carlos Tavares da; TOSTES, Maria Emilia de Lima; Eduardo de Magalhães Braga
    The article proposes a fuzzy logic-based algorithm to diagnose power quality in low-voltage three-phase systems using the THD (Total Harmonic Distortion) indicator. The fuzzy inference system classifies distortion levels in voltage and current, generating diagnoses such as "normal," "significant," or "critical." The method aims to assist in problem identification and decision-making to mitigate harmonic disturbances, contributing to improved power quality.