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Framework for real-time predictive maintenance supported by big data technologies

Teixeira, Marco; Thierstein, Francisco; Entringer, Pedro; Sá, Hugo; Leitão, José Demétrio; Leal, Fátima

Industry 4.0 boosted the generation of large volumes of sensor data in manufacturing production lines. When adequately mined, this information can anticipate failures and launch maintenance actions increasing quality and productivity. This paper explores the integration of real-time big data techniques in industry. Specifically, this work contributes with a framework for real-time predictive maintenance support...


Adding value to stalked barnacles from Berlengas Nature Reserve (Portugal) by t...

Pinheiro, Joaquina; Fernandes, Wilson; Sá, Hugo; Bernardino, Raul; Leandro, Sérgio Miguel; Ganhão, Rui

In this work, a new and natural food product, stalked barnacle (Pollicipes Pollicipes) pâté enriched with blackberry, was developed to valorise the rejected stalked barnacle. To evaluate the addition of blackberry fruits (Rubus ulmifolius Schott.) as a natural preservative on pâté quality, four pâté sample groups were considered: a negative control without a synthetic additive (CTR), a positive control with but...

Date: 2023   |   Origin: IC-online

Display autónomo para elevadores

Lopes, Gonçalo; Sá, Hugo; Martins, Ernesto; Fonseca, José Alberto; Garrido, António

Este artigo descreve sumariamente um sistema de displays universais e autónomos para equipar elevadores. A solução desenvolvida consiste numa arquitectura distribuída de módulos inteligentes, munidos de displays gráficos do tipo LCD (liquid cristal display), ligados pelo barramento CAN (controller area network). Os módulos incluem microcontrolador PIC 18F, memória Flash externa para armazenamento das configuraç...


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