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The dataset generation failed because of a cast error
Error code: DatasetGenerationCastError
Exception: DatasetGenerationCastError
Message: An error occurred while generating the dataset
All the data files must have the same columns, but at some point there are 6 new columns ({'setStatLoad / N', 'peak_dynLoad / N', 'meanAbs_speed / rpm', 'setSpeed / rpm', 'meanAbs_statLoad / N', 'setDynLoad / N'}) and 3 missing columns ({'Mean Abs. Temp. T1 / °C', 'Mean Room Temp. / °C', 'Mean Abs. Temp. T2 / °C'}).
This happened while the csv dataset builder was generating data using
hf://datasets/Nounours777/Paderborn-bearing/data/B01/B01_operatingConditions.csv (at revision 29c8b14099dd2a4fd5a5a435e48558923065e407), ['hf://datasets/Nounours777/Paderborn-bearing@29c8b14099dd2a4fd5a5a435e48558923065e407/data/B01/B01_meanTemperatures.csv', 'hf://datasets/Nounours777/Paderborn-bearing@29c8b14099dd2a4fd5a5a435e48558923065e407/data/B01/B01_operatingConditions.csv', 'hf://datasets/Nounours777/Paderborn-bearing@29c8b14099dd2a4fd5a5a435e48558923065e407/data/B02/B02_meanTemperatures.csv', 'hf://datasets/Nounours777/Paderborn-bearing@29c8b14099dd2a4fd5a5a435e48558923065e407/data/B02/B02_operatingConditions.csv', 'hf://datasets/Nounours777/Paderborn-bearing@29c8b14099dd2a4fd5a5a435e48558923065e407/data/B03/B03_meanTemperatures.csv', 'hf://datasets/Nounours777/Paderborn-bearing@29c8b14099dd2a4fd5a5a435e48558923065e407/data/B03/B03_operatingConditions.csv', 'hf://datasets/Nounours777/Paderborn-bearing@29c8b14099dd2a4fd5a5a435e48558923065e407/data/B04/B04_meanTemperatures.csv', 'hf://datasets/Nounours777/Paderborn-bearing@29c8b14099dd2a4fd5a5a435e48558923065e407/data/B04/B04_operatingConditions.csv', 'hf://datasets/Nounours777/Paderborn-bearing@29c8b14099dd2a4fd5a5a435e48558923065e407/data/B05/B05_meanTemperatures.csv', 'hf://datasets/Nounours777/Paderborn-bearing@29c8b14099dd2a4fd5a5a435e48558923065e407/data/B05/B05_operatingConditions.csv', 'hf://datasets/Nounours777/Paderborn-bearing@29c8b14099dd2a4fd5a5a435e48558923065e407/data/B06/B06_meanTemperatures.csv', 'hf://datasets/Nounours777/Paderborn-bearing@29c8b14099dd2a4fd5a5a435e48558923065e407/data/B06/B06_operatingConditions.csv', 'hf://datasets/Nounours777/Paderborn-bearing@29c8b14099dd2a4fd5a5a435e48558923065e407/data/B07/B07_meanTemperatures.csv', 'hf://datasets/Nounours777/Paderborn-bearing@29c8b14099dd2a4fd5a5a435e48558923065e407/data/B07/B07_operatingConditions.csv', 'hf://datasets/Nounours777/Paderborn-bearing@29c8b14099dd2a4fd5a5a435e48558923065e407/data/B08/B08_meanTemperatures.csv', 'hf://datasets/Nounours777/Paderborn-bearing@29c8b14099dd2a4fd5a5a435e48558923065e407/data/B08/B08_operatingConditions.csv', 'hf://datasets/Nounours777/Paderborn-bearing@29c8b14099dd2a4fd5a5a435e48558923065e407/data/B09/B09_meanTemperatures.csv', 'hf://datasets/Nounours777/Paderborn-bearing@29c8b14099dd2a4fd5a5a435e48558923065e407/data/B09/B09_operatingConditions.csv', 'hf://datasets/Nounours777/Paderborn-bearing@29c8b14099dd2a4fd5a5a435e48558923065e407/data/B10/B10_meanTemperatures.csv', 'hf://datasets/Nounours777/Paderborn-bearing@29c8b14099dd2a4fd5a5a435e48558923065e407/data/B10/B10_operatingConditions.csv', 'hf://datasets/Nounours777/Paderborn-bearing@29c8b14099dd2a4fd5a5a435e48558923065e407/data/B11/B11_meanTemperatures.csv', 'hf://datasets/Nounours777/Paderborn-bearing@29c8b14099dd2a4fd5a5a435e48558923065e407/data/B11/B11_operatingConditions.csv', 'hf://datasets/Nounours777/Paderborn-bearing@29c8b14099dd2a4fd5a5a435e48558923065e407/data/B12/B12_meanTemperatures.csv', 'hf://datasets/Nounours777/Paderborn-bearing@29c8b14099dd2a4fd5a5a435e48558923065e407/data/B12/B12_operatingConditions.csv', 'hf://datasets/Nounours777/Paderborn-bearing@29c8b14099dd2a4fd5a5a435e48558923065e407/data/B13/B13_meanTemperatures.csv', 'hf://datasets/Nounours777/Paderborn-bearing@29c8b14099dd2a4fd5a5a435e48558923065e407/data/B13/B13_operatingConditions.csv', 'hf://datasets/Nounours777/Paderborn-bearing@29c8b14099dd2a4fd5a5a435e48558923065e407/data/B14/B14_meanTemperatures.csv', 'hf://datasets/Nounours777/Paderborn-bearing@29c8b14099dd2a4fd5a5a435e48558923065e407/data/B14/B14_operatingConditions.csv', 'hf://datasets/Nounours777/Paderborn-bearing@29c8b14099dd2a4fd5a5a435e48558923065e407/data/B15/B15_meanTemperatures.csv', 'hf://datasets/Nounours777/Paderborn-bearing@29c8b14099dd2a4fd5a5a435e48558923065e407/data/B15/B15_operatingConditions.csv', 'hf://datasets/Nounours777/Paderborn-bearing@29c8b14099dd2a4fd5a5a435e48558923065e407/data/B16/B16_meanTemperatures.csv', 'hf://datasets/Nounours777/Paderborn-bearing@29c8b14099dd2a4fd5a5a435e48558923065e407/data/B16/B16_operatingConditions.csv', 'hf://datasets/Nounours777/Paderborn-bearing@29c8b14099dd2a4fd5a5a435e48558923065e407/data/B17/B17_meanTemperatures.csv', 'hf://datasets/Nounours777/Paderborn-bearing@29c8b14099dd2a4fd5a5a435e48558923065e407/data/B17/B17_operatingConditions.csv']
Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1848, in _prepare_split_single
writer.write_table(table)
~~~~~~~~~~~~~~~~~~^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 765, in write_table
self._write_table(pa_table, writer_batch_size=writer_batch_size)
~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 773, in _write_table
pa_table = table_cast(pa_table, self._schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2378, in table_cast
return cast_table_to_schema(table, schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2306, in cast_table_to_schema
raise CastError(
...<3 lines>...
)
datasets.table.CastError: Couldn't cast
Time: string
setDynLoad / N: double
peak_dynLoad / N: double
setStatLoad / N: double
meanAbs_statLoad / N: double
setSpeed / rpm: double
meanAbs_speed / rpm: double
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 1189
to
{'Time': Value('string'), 'Mean Abs. Temp. T1 / °C': Value('float64'), 'Mean Abs. Temp. T2 / °C': Value('float64'), 'Mean Room Temp. / °C': Value('float64')}
because column names don't match
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1369, in compute_config_parquet_and_info_response
parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
~~~~~~~~~~~~~~~~~~~~~~~~~^
builder, max_dataset_size_bytes=max_dataset_size_bytes
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
)
^
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 948, in stream_convert_to_parquet
builder._prepare_split(split_generator=splits_generators[split], file_format="parquet")
~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1694, in _prepare_split
for job_id, done, content in self._prepare_split_single(
~~~~~~~~~~~~~~~~~~~~~~~~~~^
gen_kwargs=gen_kwargs, job_id=job_id, **_prepare_split_args
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
):
^
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1850, in _prepare_split_single
raise DatasetGenerationCastError.from_cast_error(
...<4 lines>...
)
datasets.exceptions.DatasetGenerationCastError: An error occurred while generating the dataset
All the data files must have the same columns, but at some point there are 6 new columns ({'setStatLoad / N', 'peak_dynLoad / N', 'meanAbs_speed / rpm', 'setSpeed / rpm', 'meanAbs_statLoad / N', 'setDynLoad / N'}) and 3 missing columns ({'Mean Abs. Temp. T1 / °C', 'Mean Room Temp. / °C', 'Mean Abs. Temp. T2 / °C'}).
This happened while the csv dataset builder was generating data using
hf://datasets/Nounours777/Paderborn-bearing/data/B01/B01_operatingConditions.csv (at revision 29c8b14099dd2a4fd5a5a435e48558923065e407), ['hf://datasets/Nounours777/Paderborn-bearing@29c8b14099dd2a4fd5a5a435e48558923065e407/data/B01/B01_meanTemperatures.csv', 'hf://datasets/Nounours777/Paderborn-bearing@29c8b14099dd2a4fd5a5a435e48558923065e407/data/B01/B01_operatingConditions.csv', 'hf://datasets/Nounours777/Paderborn-bearing@29c8b14099dd2a4fd5a5a435e48558923065e407/data/B02/B02_meanTemperatures.csv', 'hf://datasets/Nounours777/Paderborn-bearing@29c8b14099dd2a4fd5a5a435e48558923065e407/data/B02/B02_operatingConditions.csv', 'hf://datasets/Nounours777/Paderborn-bearing@29c8b14099dd2a4fd5a5a435e48558923065e407/data/B03/B03_meanTemperatures.csv', 'hf://datasets/Nounours777/Paderborn-bearing@29c8b14099dd2a4fd5a5a435e48558923065e407/data/B03/B03_operatingConditions.csv', 'hf://datasets/Nounours777/Paderborn-bearing@29c8b14099dd2a4fd5a5a435e48558923065e407/data/B04/B04_meanTemperatures.csv', 'hf://datasets/Nounours777/Paderborn-bearing@29c8b14099dd2a4fd5a5a435e48558923065e407/data/B04/B04_operatingConditions.csv', 'hf://datasets/Nounours777/Paderborn-bearing@29c8b14099dd2a4fd5a5a435e48558923065e407/data/B05/B05_meanTemperatures.csv', 'hf://datasets/Nounours777/Paderborn-bearing@29c8b14099dd2a4fd5a5a435e48558923065e407/data/B05/B05_operatingConditions.csv', 'hf://datasets/Nounours777/Paderborn-bearing@29c8b14099dd2a4fd5a5a435e48558923065e407/data/B06/B06_meanTemperatures.csv', 'hf://datasets/Nounours777/Paderborn-bearing@29c8b14099dd2a4fd5a5a435e48558923065e407/data/B06/B06_operatingConditions.csv', 'hf://datasets/Nounours777/Paderborn-bearing@29c8b14099dd2a4fd5a5a435e48558923065e407/data/B07/B07_meanTemperatures.csv', 'hf://datasets/Nounours777/Paderborn-bearing@29c8b14099dd2a4fd5a5a435e48558923065e407/data/B07/B07_operatingConditions.csv', 'hf://datasets/Nounours777/Paderborn-bearing@29c8b14099dd2a4fd5a5a435e48558923065e407/data/B08/B08_meanTemperatures.csv', 'hf://datasets/Nounours777/Paderborn-bearing@29c8b14099dd2a4fd5a5a435e48558923065e407/data/B08/B08_operatingConditions.csv', 'hf://datasets/Nounours777/Paderborn-bearing@29c8b14099dd2a4fd5a5a435e48558923065e407/data/B09/B09_meanTemperatures.csv', 'hf://datasets/Nounours777/Paderborn-bearing@29c8b14099dd2a4fd5a5a435e48558923065e407/data/B09/B09_operatingConditions.csv', 'hf://datasets/Nounours777/Paderborn-bearing@29c8b14099dd2a4fd5a5a435e48558923065e407/data/B10/B10_meanTemperatures.csv', 'hf://datasets/Nounours777/Paderborn-bearing@29c8b14099dd2a4fd5a5a435e48558923065e407/data/B10/B10_operatingConditions.csv', 'hf://datasets/Nounours777/Paderborn-bearing@29c8b14099dd2a4fd5a5a435e48558923065e407/data/B11/B11_meanTemperatures.csv', 'hf://datasets/Nounours777/Paderborn-bearing@29c8b14099dd2a4fd5a5a435e48558923065e407/data/B11/B11_operatingConditions.csv', 'hf://datasets/Nounours777/Paderborn-bearing@29c8b14099dd2a4fd5a5a435e48558923065e407/data/B12/B12_meanTemperatures.csv', 'hf://datasets/Nounours777/Paderborn-bearing@29c8b14099dd2a4fd5a5a435e48558923065e407/data/B12/B12_operatingConditions.csv', 'hf://datasets/Nounours777/Paderborn-bearing@29c8b14099dd2a4fd5a5a435e48558923065e407/data/B13/B13_meanTemperatures.csv', 'hf://datasets/Nounours777/Paderborn-bearing@29c8b14099dd2a4fd5a5a435e48558923065e407/data/B13/B13_operatingConditions.csv', 'hf://datasets/Nounours777/Paderborn-bearing@29c8b14099dd2a4fd5a5a435e48558923065e407/data/B14/B14_meanTemperatures.csv', 'hf://datasets/Nounours777/Paderborn-bearing@29c8b14099dd2a4fd5a5a435e48558923065e407/data/B14/B14_operatingConditions.csv', 'hf://datasets/Nounours777/Paderborn-bearing@29c8b14099dd2a4fd5a5a435e48558923065e407/data/B15/B15_meanTemperatures.csv', 'hf://datasets/Nounours777/Paderborn-bearing@29c8b14099dd2a4fd5a5a435e48558923065e407/data/B15/B15_operatingConditions.csv', 'hf://datasets/Nounours777/Paderborn-bearing@29c8b14099dd2a4fd5a5a435e48558923065e407/data/B16/B16_meanTemperatures.csv', 'hf://datasets/Nounours777/Paderborn-bearing@29c8b14099dd2a4fd5a5a435e48558923065e407/data/B16/B16_operatingConditions.csv', 'hf://datasets/Nounours777/Paderborn-bearing@29c8b14099dd2a4fd5a5a435e48558923065e407/data/B17/B17_meanTemperatures.csv', 'hf://datasets/Nounours777/Paderborn-bearing@29c8b14099dd2a4fd5a5a435e48558923065e407/data/B17/B17_operatingConditions.csv']
Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
Time string | Mean Abs. Temp. T1 / °C float64 | Mean Abs. Temp. T2 / °C float64 | Mean Room Temp. / °C float64 |
|---|---|---|---|
19-Oct-2021 08:46:54 | 21.437794 | 21.336023 | 21.475223 |
19-Oct-2021 08:47:06 | 21.675971 | 21.563905 | 21.47208 |
19-Oct-2021 08:47:18 | 21.900365 | 21.790959 | 21.450842 |
19-Oct-2021 08:47:29 | 22.126 | 22.028608 | 21.442562 |
19-Oct-2021 08:47:41 | 22.354794 | 22.275628 | 21.434282 |
19-Oct-2021 08:47:54 | 22.587821 | 22.525195 | 21.421938 |
19-Oct-2021 08:48:05 | 22.821939 | 22.780226 | 21.423011 |
19-Oct-2021 08:48:17 | 23.058526 | 23.036503 | 21.435738 |
19-Oct-2021 08:48:29 | 23.296511 | 23.300699 | 21.447929 |
19-Oct-2021 08:48:41 | 23.53597 | 23.561158 | 21.456746 |
19-Oct-2021 08:48:53 | 23.776443 | 23.82294 | 21.474226 |
19-Oct-2021 08:49:05 | 24.024221 | 24.081445 | 21.498147 |
19-Oct-2021 08:49:17 | 24.262274 | 24.331607 | 21.69972 |
19-Oct-2021 08:49:29 | 24.496815 | 24.587235 | 21.722952 |
19-Oct-2021 08:49:41 | 24.746028 | 24.852474 | 21.625116 |
19-Oct-2021 08:49:53 | 24.996026 | 25.109677 | 21.555574 |
19-Oct-2021 08:50:05 | 25.237448 | 25.36828 | 21.525059 |
19-Oct-2021 08:50:17 | 25.483799 | 25.622606 | 21.502748 |
19-Oct-2021 08:50:29 | 25.723414 | 25.854002 | 21.530579 |
19-Oct-2021 08:50:41 | 25.952914 | 26.094856 | 21.541236 |
19-Oct-2021 08:50:53 | 26.181739 | 26.333116 | 21.576965 |
19-Oct-2021 08:51:05 | 26.415262 | 26.588436 | 21.59345 |
19-Oct-2021 08:51:17 | 26.636287 | 26.817212 | 21.604721 |
19-Oct-2021 08:51:29 | 26.860091 | 27.072262 | 21.573055 |
19-Oct-2021 08:51:41 | 27.088287 | 27.29631 | 21.576889 |
19-Oct-2021 08:51:52 | 27.30736 | 27.521602 | 21.567151 |
19-Oct-2021 08:52:04 | 27.529365 | 27.752668 | 21.559331 |
19-Oct-2021 08:52:16 | 27.748851 | 27.97776 | 21.576505 |
19-Oct-2021 08:52:28 | 27.968044 | 28.198029 | 21.570908 |
19-Oct-2021 08:52:40 | 28.191783 | 28.420693 | 21.617909 |
19-Oct-2021 08:52:52 | 28.404015 | 28.640145 | 21.574359 |
19-Oct-2021 08:53:04 | 28.615569 | 28.848089 | 21.559408 |
19-Oct-2021 08:53:16 | 28.81761 | 29.052666 | 21.58954 |
19-Oct-2021 08:53:28 | 29.022966 | 29.259022 | 21.608324 |
19-Oct-2021 08:53:40 | 29.222573 | 29.444415 | 21.635007 |
19-Oct-2021 08:53:52 | 29.395376 | 29.60477 | 21.627493 |
19-Oct-2021 08:54:04 | 29.597387 | 29.809316 | 21.648195 |
19-Oct-2021 08:54:16 | 29.815855 | 30.025709 | 21.63953 |
19-Oct-2021 08:54:28 | 30.0089 | 30.218291 | 21.618215 |
19-Oct-2021 08:54:40 | 30.209718 | 30.436786 | 21.617755 |
19-Oct-2021 08:54:51 | 30.399635 | 30.617248 | 21.648041 |
19-Oct-2021 08:55:03 | 30.59917 | 30.809711 | 21.697573 |
19-Oct-2021 08:55:15 | 30.782497 | 30.987965 | 21.718352 |
19-Oct-2021 08:55:27 | 30.946463 | 31.157541 | 21.711834 |
19-Oct-2021 08:55:39 | 31.116049 | 31.340349 | 21.725943 |
19-Oct-2021 08:55:51 | 31.26673 | 31.444518 | 21.726939 |
19-Oct-2021 08:56:03 | 31.421724 | 31.543001 | 21.722109 |
19-Oct-2021 08:56:15 | 31.582492 | 31.703226 | 21.707004 |
19-Oct-2021 08:56:27 | 31.780098 | 31.947037 | 21.737214 |
19-Oct-2021 08:56:39 | 31.970026 | 32.157493 | 21.76152 |
19-Oct-2021 08:56:51 | 32.127052 | 32.325821 | 21.820638 |
19-Oct-2021 08:57:10 | 32.842375 | 32.877234 | 22.138099 |
19-Oct-2021 08:57:29 | 35.209616 | 34.928564 | 22.351136 |
19-Oct-2021 08:57:48 | 37.292628 | 36.908612 | 22.42821 |
19-Oct-2021 08:58:07 | 39.731693 | 39.253066 | 22.463182 |
19-Oct-2021 08:58:23 | 41.647548 | 41.162812 | 22.505209 |
19-Oct-2021 08:58:42 | 43.480472 | 43.055906 | 22.521929 |
19-Oct-2021 08:58:57 | 45.100016 | 44.65939 | 22.574004 |
19-Oct-2021 08:59:18 | 47.25772 | 46.787933 | 22.624623 |
19-Oct-2021 08:59:40 | 49.347639 | 48.923709 | 22.668033 |
19-Oct-2021 08:59:58 | 50.786214 | 50.353731 | 22.706535 |
19-Oct-2021 09:00:16 | 52.500141 | 52.000796 | 22.861699 |
19-Oct-2021 09:00:32 | 53.778618 | 53.294781 | 22.804787 |
19-Oct-2021 09:00:52 | 55.255502 | 54.704927 | 22.922293 |
19-Oct-2021 09:01:12 | 57.10127 | 56.463668 | 23.004673 |
19-Oct-2021 09:01:29 | 58.721017 | 57.91832 | 23.042029 |
19-Oct-2021 09:01:50 | 60.899508 | 59.985104 | 23.068569 |
19-Oct-2021 09:02:10 | 62.677635 | 61.860762 | 22.889772 |
19-Oct-2021 09:02:29 | 64.357868 | 63.628804 | 23.138372 |
19-Oct-2021 09:02:49 | 65.444709 | 64.709509 | 23.13354 |
19-Oct-2021 09:03:09 | 66.996802 | 66.218893 | 23.040955 |
19-Oct-2021 09:03:25 | 67.720034 | 66.96242 | 23.002832 |
19-Oct-2021 09:03:45 | 69.017911 | 68.038149 | 23.271463 |
19-Oct-2021 09:04:02 | 70.547173 | 69.44617 | 23.114746 |
19-Oct-2021 09:04:23 | 71.593401 | 70.508626 | 23.298235 |
19-Oct-2021 09:04:42 | 72.786382 | 71.605038 | 23.407474 |
19-Oct-2021 09:04:59 | 73.732479 | 72.578598 | 23.38983 |
19-Oct-2021 09:05:14 | 74.25773 | 73.126128 | 23.176113 |
19-Oct-2021 09:05:32 | 74.966347 | 73.661213 | 23.197668 |
19-Oct-2021 09:05:52 | 76.20535 | 74.771442 | 23.259036 |
19-Oct-2021 09:06:11 | 76.970659 | 75.466333 | 23.168212 |
19-Oct-2021 09:06:28 | 77.967462 | 76.398639 | 23.205722 |
19-Oct-2021 09:06:47 | 78.747449 | 77.069243 | 23.38469 |
19-Oct-2021 09:07:04 | 80.053091 | 78.255465 | 23.320021 |
19-Oct-2021 09:07:21 | 80.840282 | 78.996163 | 23.401874 |
19-Oct-2021 09:07:38 | 81.607055 | 79.604426 | 23.398652 |
19-Oct-2021 09:07:54 | 83.047665 | 80.672178 | 23.314268 |
19-Oct-2021 09:08:14 | 85.066731 | 82.456228 | 23.264405 |
19-Oct-2021 09:08:31 | 85.998141 | 83.568166 | 23.274378 |
19-Oct-2021 09:08:51 | 87.124094 | 84.578613 | 23.300536 |
19-Oct-2021 09:09:10 | 89.202532 | 86.444813 | 23.385073 |
19-Oct-2021 09:09:26 | 90.191769 | 87.502036 | 23.288569 |
19-Oct-2021 09:09:42 | 91.643259 | 88.904999 | 23.307901 |
19-Oct-2021 09:09:59 | 92.340114 | 89.803162 | 23.552926 |
19-Oct-2021 09:10:15 | 93.72001 | 90.912103 | 23.47667 |
19-Oct-2021 09:10:33 | 95.794544 | 92.797713 | 23.615528 |
19-Oct-2021 09:10:53 | 97.718221 | 94.742153 | 23.838327 |
19-Oct-2021 09:11:15 | 99.771188 | 96.694174 | 23.649361 |
19-Oct-2021 09:11:33 | 102.019106 | 98.801359 | 23.515335 |
19-Oct-2021 09:11:52 | 104.372384 | 101.164735 | 23.56382 |
End of preview.
Paderborn LDM run-to-failure bearings, lossless int16 repack
Repack of Run-to-failure data set of ball bearings subjected to time-varying load and speed conditions
(O. K. Aimiyekagbon, Paderborn University, Zenodo, DOI 10.5281/zenodo.10805042,
CC BY 4.0). Nothing is resampled or filtered: each accelerometer value is the integer code of the data
logger's grid, and volts = offset[c] + step[c] * code gives back the original value to within 1e-9 V
(meta.json). Multiply by g_per_volt (10) for g. measTime is not stored: it is k / sampling_rate_hz.
Bearings: B01, B02, B03, B04, B05, B06, B07, B08, B09, B10, B11, B12, B13, B14, B15, B16, B17
data/<B>/vibration.npy int16 (records, 2, samples); channel 0 = accHorizRear_A, 1 = accHorizFrontal_C
data/<B>/meta.json sampling rate, step/offset per channel, source file names, checksums
data/<B>/*.csv, *.pdf operating conditions, temperatures and test log, unchanged from the source
import json, numpy as np
meta = json.load(open("data/B01/meta.json"))
codes = np.load("data/B01/vibration.npy", mmap_mode="r") # no full read
step, offset = np.array(meta["step_volts"]), np.array(meta["offset_volts"])
g = (offset[:, None] + step[:, None] * codes[199]) * meta["g_per_volt"] # record M0200, both channels, in g
Row k of vibration.npy is row k of <B>_operatingConditions.csv.
Please cite the data set and the paper that introduced it: Javanmardi, A., Aimiyekagbon, O. K., Bender, A., Kimotho, J. K., Sextro, W., & Hüllermeier, E. (2024). Remaining Useful Lifetime Estimation of Bearings Operating under Time-Varying Conditions. PHM Society European Conference 8(1). DOI 10.36001/phme.2024.v8i1.4101.
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