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Frequency Occurrence Plots for Motor Fault Diagnosis based on Image Recognition

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IEEE2019-05-24 更新2026-04-17 收录
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https://ieee-dataport.org/documents/frequency-occurrence-plots-motor-fault-diagnosis-based-image-recognition
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The dataset has 150 three-second sampling motor current signals from each synthetically-prepared motors. There are five motors with respective fault condition - bearing axis deviation (F1), stator coil inter-turn short circuit (F2), rotor broken strip (F3), outer bearing ring damage (F4), and healthy (H). The motors are run under five coupling loads - 0, 25, 50, 75, and 100%. The sampling signals are collected and processed into frequency occurrence plots (FOPs). Each image has a label, for example F2_L50_130, where F2 is the fault condition, L50 is the coupling load condition. and 130 is the index of motor current signal. A total of 3,750 FOPs which can be used for motor fault diagnosis through image recognition problem.
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2019-05-24
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