Arquitectura y Tecnología de Computadores (Datos de Investigación)

URI permanente para esta colecciónhttps://hdl.handle.net/11441/168222

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    Acceso AbiertoDataset
    Neuromorphic Audio for Predictive Maintenance in Peristaltic Pumps [Dataset]
    (2025-01-23) Montes-Sánchez, Juan Manuel; Domínguez Morales, Juan Pedro; Vicente Díaz, Saturnino; Jiménez Fernández, Ángel Francisco; Universidad de Sevilla. Departamento de Arquitectura y Tecnología de Computadores; Montes-Sánchez, Juan Manuel; Agencia Estatal de Investigación. España; Ministerio de Ciencia, Innovación y Universidades (MICINN). España; Universidad de Sevilla. TEP108: Robótica y Tecnología de computadores
    This dataset contains processed audio samples coming from a hydraulic block from a biomedical equipment. The block mounts 3 Thomas SR10/30 DC standard perisltaltic pumps, which were filled with distilled water. Only one pump was running at the same time during these recordings. There are two different predictive maintenance scenarios. In the first one, the cassettes of the pumps were changed before each recording. We used cassettes with 2 different levels of degradation: NEW (unused) and OLD (lifetime already expired). We defined 3 different classes: Class 1 is STOP (no pump running), class 2 is NEW (one pump running with a new cassette), and class 3 is OLD (one pump running with an old cassette). In the second scenario, air bubbles were introduced into the tube. This second scenario also has 3 classes: Class 1 is STOP (no pump running), class 2 is NORMAL (no air bubbles), and class 3 is BUBBLE (air bubbles present). A single microphone was used for all recordings. The .wav audio files were processed using a 64 channel Neuromorphic Auditory Sensor (NAS) into .aedat files, which are the present in this dataset. This neuromorphic audio data were also converted into cochleogram images using the software pyNAVIS, and they are also present in this format (.png files).
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    Acceso AbiertoDataset
    Peristaltic pump aging detection dataset
    (2024-09-25) Montes-Sánchez, Juan Manuel; Uwate, Yoko; Nishio, Yoshifumi; Vicente Díaz, Saturnino; Jiménez Fernández, Ángel Francisco; Universidad de Sevilla. Departamento de Arquitectura y Tecnología de Computadores; Montes-Sánchez, Juan Manuel; Agencia Estatal de Investigación. España; Ministerio de Ciencia, Innovación y Universidades (MICINN). España; Universidad de Sevilla. TEP-108: Robótica y tecnología de computadores
    This dataset contains samples coming from a hydraulic block from a biomedical equipment. The block mounts 3 Thomas SR10/30 DC standard perisltaltic pumps, which were filled with distilled water. Only one pump was running at the same time during these recordings, always at maximum constant speed. The cassettes of the pumps were changed before each recording. We used cassettes with 2 different levels of degradation: NEW (unused) and OLD (lifetime already expired). We defined 3 different classes: Class 1 is STOP (no pump running), class 2 is NEW (one pump running with a new cassette), and class 3 is OLD (one pump running with an old cassette). The classified samples were recorded using several sensors: 3 accelerometers, 1 gyroscope, 1 magnetometer and 1 microphone. All data were recorded at the same time at the maximum available frequency using the device "ST SensorTile.box". The raw data has already been processed into sepparate different .csv files (.wav files for audio) using python code.