{"id":"ktmnx5r2th","doi":{"id":"10.17632/ktmnx5r2th.1","status":"allocated","prefix":"10.17632"},"name":"VIBRATION DATA IUT DOUALA","description":"This dataset contains vibration signals collected from a three-phase asynchronous electric motor operating under various health and fault conditions. The data were acquired from an experimental test bench developed at the Electrotechnical Laboratory of the IUT of Douala.\n\nVibration measurements were obtained using a high-sensitivity piezoelectric sensor (approximately 100 mV/g, bandwidth 0.5 Hz–10 kHz) mounted on the motor shaft. The analog signals were digitized using an Arduino Uno microcontroller equipped with a 10-bit analog-to-digital converter (ADC), producing values ranging from 0 to 1023. Data acquisition was performed at a sampling frequency of 5 kHz.\n\nThe dataset consists of approximately 1.6 million data points distributed across five operating conditions: normal operation and four mechanical fault types (ball fault, ring fault, bearing fault, and shaft fault). Each fault condition is further characterized by two severity levels (“speed 1” and “speed 2”), resulting in nine distinct states. Each condition contributes approximately 200,000 data points.\n\nThe dataset is structured into four main variables: time (timestamp), vibration signal, fault type, and severity level. For machine learning applications, the data are provided in CSV format and organized into training, validation, and test subsets, ensuring a balanced and representative distribution of all classes.\n\nTo enhance realism and robustness, Gaussian white noise has been added to the signals, simulating industrial operating environments. The dataset is suitable for applications in fault diagnosis, condition monitoring, and predictive maintenance using machine learning and deep learning techniques.","version":1,"contributors":[{"profile_id":"9a20e236-d2f6-479b-bfa6-19a53e069eca","first_name":"FERNAND JOSEPH","last_name":"TOUKAP NONO"}],"files":[{"filename":"donnees_vibratoires_simulees.csv","id":"8631ef74-0a0e-42d2-800f-6ee8e89b527e","content_details":{"id":"bd458052-47a4-4fba-bc4d-348743aa1f9a","sha256_hash":"b03a9a3f6714a24659bf72d7a5ad1cdb217fdbeb4ee55afe3615c7ad73caca1e","content_type":"text/csv","size":116047351,"created_date":"2026-04-03T22:10:31.859Z","download_url":"https://data.mendeley.com/public-files/datasets/ktmnx5r2th/files/8631ef74-0a0e-42d2-800f-6ee8e89b527e/file_downloaded","view_url":"https://data.mendeley.com/public-files/datasets/ktmnx5r2th/files/8631ef74-0a0e-42d2-800f-6ee8e89b527e/file_viewed","download_expiry_time":"2126-09-15T05:37:18.44522587Z"},"metrics":{"downloads":0,"previews":0},"size":116047351,"status":"COMPLETED"},{"filename":"features_vibration.csv","id":"737d7411-f5bd-4d76-af78-4742e585e297","content_details":{"id":"7b0aab33-b005-4cf4-8758-84e8d0362cda","sha256_hash":"708b75e1dece4448e8344081080617eaf66865239bc39305bb516bd121d19a71","content_type":"text/csv","size":819580,"created_date":"2026-04-03T22:06:04.007Z","download_url":"https://data.mendeley.com/public-files/datasets/ktmnx5r2th/files/737d7411-f5bd-4d76-af78-4742e585e297/file_downloaded","view_url":"https://data.mendeley.com/public-files/datasets/ktmnx5r2th/files/737d7411-f5bd-4d76-af78-4742e585e297/file_viewed","download_expiry_time":"2126-09-15T05:37:18.44523269Z"},"metrics":{"downloads":0,"previews":0},"size":819580,"status":"COMPLETED"}],"versions":[{"version":1,"available":true,"publish_date":"2026-04-03T22:57:05.446Z"}],"articles":[],"categories":[{"id":"data.elsevier.com/vocabulary/OmniScience/Concept-189720848","label":"Mechanical Engineering"}],"institutions":[],"metrics":{"views":0,"file_downloads":0,"file_previews":0},"available":true,"size":116866931,"owner":{"profile_id":"9a20e236-d2f6-479b-bfa6-19a53e069eca","first_name":"FERNAND JOSEPH","last_name":"TOUKAP NONO"},"channel":"WEB","owner_id":"9a20e236-d2f6-479b-bfa6-19a53e069eca","publish_date":"2026-04-03T22:57:05.446Z","data_licence":{"id":"01d9c749-3c4d-4431-9df3-620b2dcfe144","description":"You can share, copy and modify this dataset so long as you give appropriate credit, provide a link to the CC BY license, and indicate if changes were made, but you may not do so in a way that suggests the rights holder has endorsed you or your use of the dataset. Note that further permission may be required for any content within the dataset that is identified as belonging to a third party.","url":"http://creativecommons.org/licenses/by/4.0","category":"Creative","short_name":"CC BY 4.0","full_name":"Creative Commons Attribution 4.0 International"},"related_links":[],"funders":[],"customer_id":"7377952c-6404-4428-bbfc-77242cfc301e","modified_on":"2026-04-03T22:25:30.892Z","created_on":"2026-04-03T22:05:13.801Z","confidential":false,"links":{"view":"https://data.mendeley.com/datasets/ktmnx5r2th"},"repository":{"id":"MENDELEY_DATA","name":"Mendeley Data"}}