Extracción de patrones para la Industria 4.0 a través de un modelo predictivo

  1. Sittón Candanedo, Inés 1
  2. Rodríguez González, Sara 1
  3. Muñoz, Lilia 2
  1. 1 Universidad de Salamanca
    info

    Universidad de Salamanca

    Salamanca, España

    ROR https://ror.org/02f40zc51

  2. 2 Universidad Tecnológica de Panamá
    info

    Universidad Tecnológica de Panamá

    Panamá, Panamá

    ROR https://ror.org/030ve2c48

Aldizkaria:
Revista de I+D Tecnológico

ISSN: 2219-6714,  1680-8894

Argitalpen urtea: 2019

Zenbakien izenburua: Revista de I+D Tecnológico

Alea: 15

Zenbakia: 2

Orrialdeak: 5-12

Mota: Artikulua

DOI: 10.33412/IDT.V15.2.2232 DIALNET GOOGLE SCHOLAR lock_openSarbide irekia editor

Beste argitalpen batzuk: Revista de I+D Tecnológico

Laburpena

The Internet of Things has been incorporated into our lives progressively, bringing with it great benefits for humanity such as having more interconnected and efficient infrastructures and services, generating employment, reducing operating costs and increasing profits. In this sense, the development and installation of advanced sensors for data collection, remote connection computing solutions and other disruptive technologies are marking a process of transformation in the industry; giving rise to what several sectors have called the fourth industrial revolution or Industry 4.0. This article presents a predictive model for the extraction of patterns using data fusion techniques that allow the design of a predictive maintenance model, which allows using a supervised training approach, perform data classification and probabilistically predictive values.

Datuen iturria: Dialnet