Autonomous underwater vehicle fault diagnosis dataset. Ji, D., Yao, X., Li, S., Tang, Y., & Tian, Y. Data in Brief, 39:107477, December, 2021. ![Autonomous underwater vehicle fault diagnosis dataset [link]](https://bibbase.org/img/filetypes/link.svg "link")
Paper doi abstract bibtex The dataset contains 1225 data samples for 5 fault types (labels). We divided the dataset into the training set and the test set through random stratified sampling. The test set accounted for 20% of the total dataset. Our experimental subject is ‘Haizhe’, which is a small quadrotor AUV developed in the laboratory. For each fault type, ‘Haizhe’ was tested several times. For each time, ‘Haizhe’ ran the same program and sailed underwater for 10–20 s to ensure that state data was long enough. The state data recorded in each test were then used as a data sample, and the corresponding fault type was the true label of the data sample. The dataset was used to validate a model-free fault diagnosis method proposed in our paper [1] and the complete dynamic model of ‘Haizhe’ AUV was reported in [2].
@article{ji_autonomous_2021,
title = {Autonomous underwater vehicle fault diagnosis dataset},
volume = {39},
issn = {2352-3409},
url = {https://www.sciencedirect.com/science/article/pii/S2352340921007587},
doi = {10.1016/j.dib.2021.107477},
abstract = {The dataset contains 1225 data samples for 5 fault types (labels). We divided the dataset into the training set and the test set through random stratified sampling. The test set accounted for 20\% of the total dataset. Our experimental subject is ‘Haizhe’, which is a small quadrotor AUV developed in the laboratory. For each fault type, ‘Haizhe’ was tested several times. For each time, ‘Haizhe’ ran the same program and sailed underwater for 10–20 s to ensure that state data was long enough. The state data recorded in each test were then used as a data sample, and the corresponding fault type was the true label of the data sample. The dataset was used to validate a model-free fault diagnosis method proposed in our paper [1] and the complete dynamic model of ‘Haizhe’ AUV was reported in [2].},
urldate = {2023-10-04},
journal = {Data in Brief},
author = {Ji, Daxiong and Yao, Xin and Li, Shuo and Tang, Yuangui and Tian, Yu},
month = dec,
year = {2021},
keywords = {Autonomous underwater vehicles (AUV), Fault diagnosis, Fault type, Model-free, State data},
pages = {107477},
}
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