Ontology highlight
ABSTRACT:
SUBMITTER: Veloso B
PROVIDER: S-EPMC9747912 | biostudies-literature | 2022 Dec
REPOSITORIES: biostudies-literature
Veloso Bruno B Ribeiro Rita P RP Gama João J Pereira Pedro Mota PM
Scientific data 20221213 1
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 ...[more]