2020
Autores
Cerri, R; Costa Júnior, JD; Faria Paiva, ERd; da Gama, JMP;
Publicação
CoRR
Abstract
2019
Autores
Moulton, RH; Viktor, HL; Japkowicz, N; Gama, J;
Publicação
CoRR
Abstract
2018
Autores
Cordeiro, M; Sarmento, RP; Brazdil, P; Gama, J;
Publicação
CoRR
Abstract
2016
Autores
T, HadiFanaee; Gama, Joao;
Publicação
CoRR
Abstract
2022
Autores
Jesus, S; Pombal, J; Alves, D; Cruz, AF; Saleiro, P; Ribeiro, RP; Gama, J; Bizarro, P;
Publicação
ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 35, NEURIPS 2022
Abstract
2022
Autores
Veloso, B; Gama, J; Ribeiro, RP; Pereira, PM;
Publicação
SCIENTIFIC DATA
Abstract
The paper describes the MetroPT data set, an outcome of a Predictive Maintenance project with an urban metro public transportation service in Porto, Portugal. The data was collected in 2022 to develop machine learning methods for online anomaly detection and failure prediction. Several analog sensor signals (pressure, temperature, current consumption), digital signals (control signals, discrete signals), and GPS information (latitude, longitude, and speed) provide a framework that can be easily used and help the development of new machine learning methods. This dataset contains some interesting characteristics and can be a good benchmark for predictive maintenance models.
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