Failure Prediction - An Application in the Railway Industry. - Pedro Mota Pereira; Rita P. Ribeiro; João Gama 001 (Discovery Science, 2014)

Sequential anomalies: a study in the Railway Industry. - Rita P. Ribeiro; Pedro Mota Pereira; João Gama 001 (Mach. Learn., 2016)

Failure Detection of an Air Production Unit in Operational Context. - Mariana Barros; Bruno Veloso; Pedro Mota Pereira; Rita P. Ribeiro; João Gama 001 (IoT Streams/ITEM@PKDD/ECML, 2020)

Predictive maintenance based on anomaly detection using deep learning for air production unit in the railway industry. - Narjes Davari; Bruno Veloso; Rita P. Ribeiro; Pedro Mota Pereira; João Gama 001 (DSAA, 2021)

A Survey on Data-Driven Predictive Maintenance for the Railway Industry. - Narjes Davari; Bruno Veloso; Gustavo de Assis Costa; Pedro Mota Pereira; Rita P. Ribeiro; João Gama 001 (Sensors, 2021)

A Fault Detection Framework Based on LSTM Autoencoder: A Case Study for Volvo Bus Data Set. - Narjes Davari; Sepideh Pashami; Bruno Veloso; Slawomir Nowaczyk; Yuantao Fan; Pedro Mota Pereira; Rita P. Ribeiro; João Gama 001 (IDA, 2022)

A Benchmark dataset for predictive maintenance. - Bruno Veloso; João Gama 001; Rita P. Ribeiro; Pedro Mota Pereira (CoRR, 2022)

MetroPT: A Benchmark dataset for predictive maintenance. - Bruno Veloso; João Gama 001; Rita P. Ribeiro; Pedro Pereira 004 (Zenodo, 2022)

MetroPT2: A Benchmark dataset for predictive maintenance. - Bruno Veloso; João Gama 001; Rita P. Ribeiro; Pedro Pereira 004 (Zenodo, 2022)