[{"date_created":"2026-06-08T13:40:53Z","citation":{"ieee":"J.-F. Ehlenbröker, U. Mönks, and V. Lohweg, <i>Typical Sensor Defects Dataset</i>. Zenodo, 2016. doi: <a href=\"https://doi.org/10.5281/ZENODO.56358\">10.5281/ZENODO.56358</a>.","mla":"Ehlenbröker, Jan-Friedrich, et al. <i>Typical Sensor Defects Dataset</i>. Zenodo, 2016, <a href=\"https://doi.org/10.5281/ZENODO.56358\">https://doi.org/10.5281/ZENODO.56358</a>.","din1505-2-1":"<span style=\"font-variant:small-caps;\">Ehlenbröker, Jan-Friedrich</span> ; <span style=\"font-variant:small-caps;\">Mönks, Uwe</span> ; <span style=\"font-variant:small-caps;\">Lohweg, Volker</span>: <i>Typical Sensor Defects Dataset</i> : Zenodo, 2016","short":"J.-F. Ehlenbröker, U. Mönks, V. Lohweg, Typical Sensor Defects Dataset, Zenodo, 2016.","van":"Ehlenbröker JF, Mönks U, Lohweg V. Typical Sensor Defects Dataset. Zenodo; 2016.","havard":"J.-F. Ehlenbröker, U. Mönks, V. Lohweg, Typical Sensor Defects Dataset, Zenodo, 2016.","chicago":"Ehlenbröker, Jan-Friedrich, Uwe Mönks, and Volker Lohweg. <i>Typical Sensor Defects Dataset</i>. Zenodo, 2016. <a href=\"https://doi.org/10.5281/ZENODO.56358\">https://doi.org/10.5281/ZENODO.56358</a>.","apa":"Ehlenbröker, J.-F., Mönks, U., &#38; Lohweg, V. (2016). <i>Typical Sensor Defects Dataset</i>. Zenodo. <a href=\"https://doi.org/10.5281/ZENODO.56358\">https://doi.org/10.5281/ZENODO.56358</a>","chicago-de":"Ehlenbröker, Jan-Friedrich, Uwe Mönks und Volker Lohweg. 2016. <i>Typical Sensor Defects Dataset</i>. Zenodo. doi:<a href=\"https://doi.org/10.5281/ZENODO.56358\">10.5281/ZENODO.56358</a>, .","ufg":"<b>Ehlenbröker, Jan-Friedrich/Mönks, Uwe/Lohweg, Volker</b>: Typical Sensor Defects Dataset, o. O. 2016.","ama":"Ehlenbröker JF, Mönks U, Lohweg V. <i>Typical Sensor Defects Dataset</i>. Zenodo; 2016. doi:<a href=\"https://doi.org/10.5281/ZENODO.56358\">10.5281/ZENODO.56358</a>","bjps":"<b>Ehlenbröker J-F, Mönks U and Lohweg V</b> (2016) <i>Typical Sensor Defects Dataset</i>. Zenodo."},"_id":"13808","status":"public","doi":"10.5281/ZENODO.56358","type":"research_data","department":[{"_id":"DEP5023"}],"abstract":[{"lang":"eng","text":"\r\n\r\nThirteen datasets of sensor values, with one dataset without sensor defects (data_standard.csv). All other datasets are based on the dataset without a defect, with the values of Temp_Sensor_2 modified to simulate different sensor defects:\r\n\r\n    Sensor Drift: 1‰/hour (data_drift_0_001.csv), 2.5‰/hour (data_drift_0_0025.csv), 5‰/hour (data_drift_0_005.csv)\r\n    Sensor Offset: 1°C Offset (data_offset_1.csv), 2°Offset (data_offset_2.csv), 5°Offset (data_offset_5.csv)\r\n    Sensor Peaks: 1 Peak/Minute (data_peak_1.csv), 2 Peaks/Minute (data_peak_2.csv), 5 Peaks/Minute (data_peak_5.csv), 10 Peaks/Minute(data_peak_10.csv)\r\n    Sensor Noise: 10 dB SNR (data_noise_10dB.csv), 0 dB SNR (data_noise_0dB.csv)\r\n\r\nThe datasets are given as comma-separated values in text files. The first column in each file holds time stamps, while the following columns hold the sensor values. The first entry in every column gives the name of the sensor. All datasets are zipped into one file (data.zip).\r\n\r\nAdditionally attached is configuration data (Configuration.pdf) for the sensor fusion approach that was used to classify the datasets.\r\n\r\nFor more information please contact the uploader.\r\n"}],"year":"2016","publisher":"Zenodo","user_id":"83781","author":[{"first_name":"Jan-Friedrich","id":"1852","last_name":"Ehlenbröker","full_name":"Ehlenbröker, Jan-Friedrich"},{"full_name":"Mönks, Uwe","id":"88034","last_name":"Mönks","first_name":"Uwe"},{"last_name":"Lohweg","id":"1804","first_name":"Volker","full_name":"Lohweg, Volker","orcid":"0000-0002-3325-7887"}],"date_updated":"2026-06-09T06:42:59Z","title":"Typical Sensor Defects Dataset","keyword":["sensor data","sensor defect"]},{"date_created":"2026-06-16T14:05:05Z","citation":{"bjps":"<b>Ehlenbröker J-F, Mönks U and Lohweg V</b> (2016) <i>Sensor Defect Detection Datasets With Configuration</i>. Zenodo.","ama":"Ehlenbröker JF, Mönks U, Lohweg V. <i>Sensor Defect Detection Datasets With Configuration</i>. Zenodo; 2016. doi:<a href=\"https://doi.org/10.5281/ZENODO.48728\">10.5281/ZENODO.48728</a>","apa":"Ehlenbröker, J.-F., Mönks, U., &#38; Lohweg, V. (2016). <i>Sensor Defect Detection Datasets With Configuration</i>. Zenodo. <a href=\"https://doi.org/10.5281/ZENODO.48728\">https://doi.org/10.5281/ZENODO.48728</a>","chicago-de":"Ehlenbröker, Jan-Friedrich, Uwe Mönks und Volker Lohweg. 2016. <i>Sensor Defect Detection Datasets With Configuration</i>. Zenodo. doi:<a href=\"https://doi.org/10.5281/ZENODO.48728\">10.5281/ZENODO.48728</a>, .","ufg":"<b>Ehlenbröker, Jan-Friedrich/Mönks, Uwe/Lohweg, Volker</b>: Sensor Defect Detection Datasets With Configuration, o. O. 2016.","havard":"J.-F. Ehlenbröker, U. Mönks, V. Lohweg, Sensor Defect Detection Datasets With Configuration, Zenodo, 2016.","chicago":"Ehlenbröker, Jan-Friedrich, Uwe Mönks, and Volker Lohweg. <i>Sensor Defect Detection Datasets With Configuration</i>. Zenodo, 2016. <a href=\"https://doi.org/10.5281/ZENODO.48728\">https://doi.org/10.5281/ZENODO.48728</a>.","short":"J.-F. Ehlenbröker, U. Mönks, V. Lohweg, Sensor Defect Detection Datasets With Configuration, Zenodo, 2016.","van":"Ehlenbröker JF, Mönks U, Lohweg V. Sensor Defect Detection Datasets With Configuration. Zenodo; 2016.","din1505-2-1":"<span style=\"font-variant:small-caps;\">Ehlenbröker, Jan-Friedrich</span> ; <span style=\"font-variant:small-caps;\">Mönks, Uwe</span> ; <span style=\"font-variant:small-caps;\">Lohweg, Volker</span>: <i>Sensor Defect Detection Datasets With Configuration</i> : Zenodo, 2016","mla":"Ehlenbröker, Jan-Friedrich, et al. <i>Sensor Defect Detection Datasets With Configuration</i>. Zenodo, 2016, <a href=\"https://doi.org/10.5281/ZENODO.48728\">https://doi.org/10.5281/ZENODO.48728</a>.","ieee":"J.-F. Ehlenbröker, U. Mönks, and V. Lohweg, <i>Sensor Defect Detection Datasets With Configuration</i>. Zenodo, 2016. doi: <a href=\"https://doi.org/10.5281/ZENODO.48728\">10.5281/ZENODO.48728</a>."},"_id":"13823","doi":"10.5281/ZENODO.48728","status":"public","type":"research_data","department":[{"_id":"DEP5023"}],"publisher":"Zenodo","abstract":[{"lang":"eng","text":"\r\nTwo datasets of sensor values, with each dataset including one defect sensor that delivers incorrect values. The datasets where gathered during tests in a hazardous material storage demonstrator.\r\n\r\nThe datasets are given as comma-separated values in text files. The first line in each file holds time stamps, while the following lines hold the sensor values. The first entry in every line gives the name of the sensor.\r\n\r\nThe first dataset (data_scenario_1.csv) was recorded under normal operating conditions, with the sensor Temperature_Inside_8 delivering incorrect values. In the second scenario (data_scenario_2.csv) there is a leakage of fluid inside the hazardous material storage. At the same time the sensor Smoke_Inside_0 delivers incorrect values.\r\n\r\nAdditionally attached is configuration data (Configurations.pdf) for the sensor fusion approach that was used to classify the datasets.\r\n\r\nFor more information please contact the uploader.\r\n"}],"year":"2016","user_id":"83781","keyword":["sensor data","sensor defect"],"date_updated":"2026-06-16T14:06:26Z","author":[{"last_name":"Ehlenbröker","id":"1852","first_name":"Jan-Friedrich","full_name":"Ehlenbröker, Jan-Friedrich"},{"last_name":"Mönks","id":"88034","first_name":"Uwe","full_name":"Mönks, Uwe"},{"first_name":"Volker","id":"1804","last_name":"Lohweg","orcid":"0000-0002-3325-7887","full_name":"Lohweg, Volker"}],"title":"Sensor Defect Detection Datasets With Configuration"},{"status":"public","doi":"10.5281/ZENODO.34511","type":"research_data","department":[{"_id":"DEP5023"}],"date_created":"2026-06-16T13:52:30Z","citation":{"van":"Ehlenbröker JF, Mönks U, Lohweg V. Sensor Defect Detection Datasets. Zenodo; 2015.","din1505-2-1":"<span style=\"font-variant:small-caps;\">Ehlenbröker, Jan-Friedrich</span> ; <span style=\"font-variant:small-caps;\">Mönks, Uwe</span> ; <span style=\"font-variant:small-caps;\">Lohweg, Volker</span>: <i>Sensor Defect Detection Datasets</i> : Zenodo, 2015","short":"J.-F. Ehlenbröker, U. Mönks, V. Lohweg, Sensor Defect Detection Datasets, Zenodo, 2015.","chicago":"Ehlenbröker, Jan-Friedrich, Uwe Mönks, and Volker Lohweg. <i>Sensor Defect Detection Datasets</i>. Zenodo, 2015. <a href=\"https://doi.org/10.5281/ZENODO.34511\">https://doi.org/10.5281/ZENODO.34511</a>.","havard":"J.-F. Ehlenbröker, U. Mönks, V. Lohweg, Sensor Defect Detection Datasets, Zenodo, 2015.","apa":"Ehlenbröker, J.-F., Mönks, U., &#38; Lohweg, V. (2015). <i>Sensor Defect Detection Datasets</i>. Zenodo. <a href=\"https://doi.org/10.5281/ZENODO.34511\">https://doi.org/10.5281/ZENODO.34511</a>","chicago-de":"Ehlenbröker, Jan-Friedrich, Uwe Mönks und Volker Lohweg. 2015. <i>Sensor Defect Detection Datasets</i>. Zenodo. doi:<a href=\"https://doi.org/10.5281/ZENODO.34511\">10.5281/ZENODO.34511</a>, .","ufg":"<b>Ehlenbröker, Jan-Friedrich/Mönks, Uwe/Lohweg, Volker</b>: Sensor Defect Detection Datasets, o. O. 2015.","ama":"Ehlenbröker JF, Mönks U, Lohweg V. <i>Sensor Defect Detection Datasets</i>. Zenodo; 2015. doi:<a href=\"https://doi.org/10.5281/ZENODO.34511\">10.5281/ZENODO.34511</a>","bjps":"<b>Ehlenbröker J-F, Mönks U and Lohweg V</b> (2015) <i>Sensor Defect Detection Datasets</i>. Zenodo.","ieee":"J.-F. Ehlenbröker, U. Mönks, and V. Lohweg, <i>Sensor Defect Detection Datasets</i>. Zenodo, 2015. doi: <a href=\"https://doi.org/10.5281/ZENODO.34511\">10.5281/ZENODO.34511</a>.","mla":"Ehlenbröker, Jan-Friedrich, et al. <i>Sensor Defect Detection Datasets</i>. Zenodo, 2015, <a href=\"https://doi.org/10.5281/ZENODO.34511\">https://doi.org/10.5281/ZENODO.34511</a>."},"_id":"13822","user_id":"83781","author":[{"full_name":"Ehlenbröker, Jan-Friedrich","first_name":"Jan-Friedrich","id":"1852","last_name":"Ehlenbröker"},{"full_name":"Mönks, Uwe","last_name":"Mönks","id":"88034","first_name":"Uwe"},{"orcid":"0000-0002-3325-7887","full_name":"Lohweg, Volker","first_name":"Volker","id":"1804","last_name":"Lohweg"}],"date_updated":"2026-06-16T14:04:18Z","title":"Sensor Defect Detection Datasets","keyword":["sensor data","sensor defect"],"year":"2015","abstract":[{"lang":"eng","text":" \r\n\r\nTwo datasets of sensor values, with each dataset including one defect sensor that delivers incorrect values. The datasets where gathered during tests in a hazardous material storage demonstrator.\r\n\r\nThe datasets are given as comma-separated values in text files. The first line in each file holds time stamps, while the following lines hold the sensor values. The first entry in every line gives the name of the sensor.\r\n\r\nThe first dataset (data_scenario_1.txt) was recorded under normal operating conditions, with the sensor Temperature_Inside_8 delivering incorrect values. In the second scenario there is a leakage of fluid inside the hazardous material storage. At the same time the sensor Smoke_Inside_0 delivers incorrect values."}],"publisher":"Zenodo"}]