Gearbox Fault Diagnosis Data
This dataset is for the fault diagnosis of a gear crack in a two-stage gearbox using vibration signal processing techniques and recorded by using SpectraQuest's Gearbox Fault Diagnostics Simulator. The online vibration data were recorded with the help of four vibration sensors placed in four different directions. It was recorded under variation of load from 0 to 90 percent for a set of normal gear (healthy condition) and cracked gear (broken tooth condition), on Drivetrain Diagnostics Simulator. Spectral analysis is carried out for a healthy gear and a cracked gear to demonstrate modulation sidebands from cracked and normal spur gear vibration measurements. The amplitude of sidebands can be used as an input parameter in various artificial intelligence techniques for fault detection. Ten different text files are available for each case.
In the linked paper (see "Publication" below) experimental study has been done to find relation between incipient gear crack at different loading conditions and amplitude of sidebands.
Citation Formats
TY - DATA
AB - This dataset is for the fault diagnosis of a gear crack in a two-stage gearbox using vibration signal processing techniques and recorded by using SpectraQuest's Gearbox Fault Diagnostics Simulator. The online vibration data were recorded with the help of four vibration sensors placed in four different directions. It was recorded under variation of load from 0 to 90 percent for a set of normal gear (healthy condition) and cracked gear (broken tooth condition), on Drivetrain Diagnostics Simulator. Spectral analysis is carried out for a healthy gear and a cracked gear to demonstrate modulation sidebands from cracked and normal spur gear vibration measurements. The amplitude of sidebands can be used as an input parameter in various artificial intelligence techniques for fault detection. Ten different text files are available for each case.
In the linked paper (see "Publication" below) experimental study has been done to find relation between incipient gear crack at different loading conditions and amplitude of sidebands.
AU - Pandya, Yogesh
A2 - Parey, Anand
DB - Open Energy Data Initiative (OEDI)
DP - Open EI | National Laboratory of the Rockies
DO -
KW - Condition Monitoring
KW - Fault Diagnosis
KW - Gearbox
KW - Renewable
KW - Smart Grid
KW - Vibration Analysis
KW - gear crack
KW - vibration
KW - sideband
KW - data
KW - raw data
KW - diagnosis
LA - English
DA - 2018/06/02
PY - 2018
PB - Prestige Institute of Engineering Management and Research (PIEMR)
T1 - Gearbox Fault Diagnosis Data
UR - https://data.openei.org/submissions/623
ER -
Pandya, Yogesh, and Anand Parey. Gearbox Fault Diagnosis Data. Prestige Institute of Engineering Management and Research (PIEMR), 2 June, 2018, Open Energy Data Initiative (OEDI). https://data.openei.org/submissions/623.
Pandya, Y., & Parey, A. (2018). Gearbox Fault Diagnosis Data. [Data set]. Open Energy Data Initiative (OEDI). Prestige Institute of Engineering Management and Research (PIEMR). https://data.openei.org/submissions/623
Pandya, Yogesh and Anand Parey. Gearbox Fault Diagnosis Data. Prestige Institute of Engineering Management and Research (PIEMR), June, 2, 2018. Distributed by Open Energy Data Initiative (OEDI). https://data.openei.org/submissions/623
@misc{OEDI_Dataset_623,
title = {Gearbox Fault Diagnosis Data},
author = {Pandya, Yogesh and Parey, Anand},
abstractNote = {This dataset is for the fault diagnosis of a gear crack in a two-stage gearbox using vibration signal processing techniques and recorded by using SpectraQuest's Gearbox Fault Diagnostics Simulator. The online vibration data were recorded with the help of four vibration sensors placed in four different directions. It was recorded under variation of load from 0 to 90 percent for a set of normal gear (healthy condition) and cracked gear (broken tooth condition), on Drivetrain Diagnostics Simulator. Spectral analysis is carried out for a healthy gear and a cracked gear to demonstrate modulation sidebands from cracked and normal spur gear vibration measurements. The amplitude of sidebands can be used as an input parameter in various artificial intelligence techniques for fault detection. Ten different text files are available for each case.
In the linked paper (see "Publication" below) experimental study has been done to find relation between incipient gear crack at different loading conditions and amplitude of sidebands.},
url = {https://data.openei.org/submissions/623},
year = {2018},
howpublished = {Open Energy Data Initiative (OEDI), Prestige Institute of Engineering Management and Research (PIEMR), https://data.openei.org/submissions/623},
note = {Accessed: 2026-02-09}
}
Details
Data from Jun 2, 2018
Last updated Oct 8, 2025
Submitted Jun 2, 2018
Organization
Prestige Institute of Engineering Management and Research (PIEMR)
Contact
Yogesh Pandya
