Frequency Occurrence Plots for Motor Fault Diagnosis based on Image Recognition

Frequency Occurrence Plots for Motor Fault Diagnosis based on Image Recognition

Abstract: 

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.

Instructions: 

Please see read_me file for detailed documentation. Anyone can use image processing techniques for motor fault diagnosis using these dataset.

Dataset Files

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Documentation

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[1] Eduardo Jr Piedad, Yu-Min Hsueh, Cheng-Chien Kuo, Hong-Chan Chang, "Frequency Occurrence Plots for Motor Fault Diagnosis based on Image Recognition", IEEE Dataport, 2019. [Online]. Available: http://dx.doi.org/10.21227/77da-c563. Accessed: Oct. 16, 2019.
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doi = {10.21227/77da-c563},
url = {http://dx.doi.org/10.21227/77da-c563},
author = {Eduardo Jr Piedad; Yu-Min Hsueh; Cheng-Chien Kuo; Hong-Chan Chang },
publisher = {IEEE Dataport},
title = {Frequency Occurrence Plots for Motor Fault Diagnosis based on Image Recognition},
year = {2019} }
TY - DATA
T1 - Frequency Occurrence Plots for Motor Fault Diagnosis based on Image Recognition
AU - Eduardo Jr Piedad; Yu-Min Hsueh; Cheng-Chien Kuo; Hong-Chan Chang
PY - 2019
PB - IEEE Dataport
UR - 10.21227/77da-c563
ER -
Eduardo Jr Piedad, Yu-Min Hsueh, Cheng-Chien Kuo, Hong-Chan Chang. (2019). Frequency Occurrence Plots for Motor Fault Diagnosis based on Image Recognition. IEEE Dataport. http://dx.doi.org/10.21227/77da-c563
Eduardo Jr Piedad, Yu-Min Hsueh, Cheng-Chien Kuo, Hong-Chan Chang, 2019. Frequency Occurrence Plots for Motor Fault Diagnosis based on Image Recognition. Available at: http://dx.doi.org/10.21227/77da-c563.
Eduardo Jr Piedad, Yu-Min Hsueh, Cheng-Chien Kuo, Hong-Chan Chang. (2019). "Frequency Occurrence Plots for Motor Fault Diagnosis based on Image Recognition." Web.
1. Eduardo Jr Piedad, Yu-Min Hsueh, Cheng-Chien Kuo, Hong-Chan Chang. Frequency Occurrence Plots for Motor Fault Diagnosis based on Image Recognition [Internet]. IEEE Dataport; 2019. Available from : http://dx.doi.org/10.21227/77da-c563
Eduardo Jr Piedad, Yu-Min Hsueh, Cheng-Chien Kuo, Hong-Chan Chang. "Frequency Occurrence Plots for Motor Fault Diagnosis based on Image Recognition." doi: 10.21227/77da-c563