HUST Bearing Fault (TsFile)

This dataset is an Apache TsFile conversion of odysseywt/HUST.

Modalities: Time-series.

Overview

• Huazhong University of Science and Technology (HUST) bearing fault dataset.

• Vibration signals across fault types, bearing types, and load conditions.

• Filename/fault/bearing/load metadata are device TAGs; vibration_raw is the measurement.

• Converted observations: 48,883,200 rows across 10 TsFile file(s)

• Source format: csv

TsFile schema

• Time — sample index within each segment, stored as INT64 milliseconds.

Column	Role	Type	Meaning
Time	TIME	INT64 (ms)	sample timestamp
filename	TAG	STRING	source file
fault_type	TAG	STRING	fault type
bearing_type	TAG	STRING	bearing type
load_condition	TAG	STRING	load
segment_idx	TAG	STRING	—
label	TAG	STRING	—
segment_id	TAG	STRING	segment id
vibration_raw	FIELD	FLOAT	amplitude

Conversion notes

• Metadata columns kept as TAGs; vibration_raw as FLOAT FIELD.
• Large source split into sharded tsfiles (row-group sharding); source features column dropped.

Source & license

• Original dataset: https://huggingface.co/datasets/odysseywt/HUST
• Author / publisher: odysseywt
• License: mit

Usage

Install the Apache TsFile Python SDK (pip install tsfile) and read a converted file:

from pathlib import Path
from tsfile import TsFileReader

path = Path("hust_1.tsfile")
with TsFileReader(str(path)) as reader:
    schemas = reader.get_all_table_schemas()
    print("tables:", list(schemas))
    table_name = next(iter(schemas))
    table = schemas[table_name]
    columns = [column.get_column_name() for column in table.get_columns()]
    print("columns:", columns)
    field_names = [
        column.get_column_name()
        for column in table.get_columns()
        if column.get_column_name() not in {"Time", "time"}
    ]
    if field_names:
        with reader.query_table(table_name, field_names[:3], batch_size=1024) as result:
            batch = result.read_arrow_batch()
            if batch is not None:
                print(batch.to_pandas().head())