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This paper presents a new dataset for comprehensive fault diagnosis of three-phase induction motors, using synchronized multi-sensor data collection. The dataset includes real-time measurements of vibration, voltage, and current collected from a 0.2 kW squirrel cage induction motor. Fault scenarios such as phase removal and mechanical misalignments were simulated to capture a wide range of motor behaviors. Data were collected using high-resolution sensors, with the vibration ,voltage and current sampled at 50kHz. The dataset is organized into tem distinct CSV files, covering different operational scenarios, providing a comprehensive resource for researchers aiming to develop or test fault detection algorithms. The dataset was used to train a RandomForest classifier for fault detection, achieving an accuracy of 99.82%. This demonstrates the effectiveness of the dataset for developing machine learning models aimed at real-time fault diagnosis and predictive maintenance. Unlike existing datasets, this collection provides synchronized data across multiple sensor types, enabling cross-analysis of electrical and mechanical faults. The dataset is publicly available, offering a valuable tool for advancing research in motor fault diagnosis and predictive maintenance.","descriptionType":"Abstract"}],"geoLocations":[],"fundingReferences":[],"xml":"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","url":"https://figshare.com/articles/dataset/MOTOR_FAULT_DETECTION_DATA/27216219","contentUrl":null,"metadataVersion":1,"schemaVersion":"http://datacite.org/schema/kernel-4","source":"mds","isActive":true,"state":"findable","reason":null,"viewCount":0,"viewsOverTime":[],"downloadCount":0,"downloadsOverTime":[],"referenceCount":0,"citationCount":1,"citationsOverTime":[{"year":"2025","total":1}],"partCount":0,"partOfCount":0,"versionCount":0,"versionOfCount":0,"created":"2024-10-12T19:48:04.000Z","registered":"2024-10-12T19:48:05.000Z","published":"2025","updated":"2025-06-03T11:53:50.000Z"},"relationships":{"client":{"data":{"id":"figshare.ars","type":"clients"}},"provider":{"data":{"id":"otjm","type":"providers"}},"media":{"data":{"id":"10.6084/m9.figshare.27216219","type":"media"}},"references":{"data":[]},"citations":{"data":[{"id":"10.1038/s41597-025-05437-3","type":"dois"}]},"parts":{"data":[]},"partOf":{"data":[]},"versions":{"data":[]},"versionOf":{"data":[]}}}}