TY - GEN
T1 - Research on Mechanism of Gear Fault Feature Extraction Based on Signal Analysis Method
AU - Zhang, Xiaoxu
AU - Yao, Peng
AU - Liu, Jinfu
AU - Zhang, Kun
N1 - Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2026.
PY - 2026
Y1 - 2026
N2 - As industrialization continues to progress, the level of development in machinery and equipment has emerged as a critical metric for assessing a country's core competitiveness. As a key equipment, gear transmission devices are widely used in energy, petrochemical, mining, automotive and other fields, and increasingly tend to be large-scale, complicated and intelligent. If you can always know the health of the gearbox and quickly and accurately identify the fault category, you can improve the safety of the gear drive. Based on the herringbone gear data of a paralleling gear box of a certain institute, this study carried out mechanical feature extraction for gear faults through Fourier transform, Hilbert-Huang transform, Short-Time Fourier transform and Continuous Wavelet transform, and verified the actual gear rotation parameters such as rotation frequency, meshing frequency and spectral diagram, envelope spectrum diagram and time spectrum diagram. Ensure the rationality and effectiveness of the used methods.
AB - As industrialization continues to progress, the level of development in machinery and equipment has emerged as a critical metric for assessing a country's core competitiveness. As a key equipment, gear transmission devices are widely used in energy, petrochemical, mining, automotive and other fields, and increasingly tend to be large-scale, complicated and intelligent. If you can always know the health of the gearbox and quickly and accurately identify the fault category, you can improve the safety of the gear drive. Based on the herringbone gear data of a paralleling gear box of a certain institute, this study carried out mechanical feature extraction for gear faults through Fourier transform, Hilbert-Huang transform, Short-Time Fourier transform and Continuous Wavelet transform, and verified the actual gear rotation parameters such as rotation frequency, meshing frequency and spectral diagram, envelope spectrum diagram and time spectrum diagram. Ensure the rationality and effectiveness of the used methods.
KW - Feature Extraction
KW - Mechanistic Research
KW - Signal Analysis
UR - https://www.scopus.com/pages/publications/105028355311
U2 - 10.1007/978-981-95-3654-2_53
DO - 10.1007/978-981-95-3654-2_53
M3 - 会议稿件
AN - SCOPUS:105028355311
SN - 9789819536535
T3 - Lecture Notes in Mechanical Engineering
SP - 613
EP - 634
BT - Advances in Mechanical Transmission
A2 - Wang, Shuxin
A2 - Qin, Datong
A2 - Liu, Fei
PB - Springer Science and Business Media Deutschland GmbH
T2 - International Conference on Mechanical Transmission, ICMT 2025
Y2 - 17 April 2025 through 20 April 2025
ER -