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Jiachi Yao et al.
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Xin Li et al.
RELIABILITY ENGINEERING & SYSTEM SAFETY (2021)
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Kaibo Lu et al.
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Shuai Yang et al.
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AKRNet: A novel convolutional neural network with attentive kernel residual learning for feature learning of gearbox vibration signals
Zhuang Ye et al.
NEUROCOMPUTING (2021)
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Wei Cao et al.
IEEE ACCESS (2021)
Application of an improved MCKDA for fault detection of wind turbine gear based on encoder signal
Yonghao Miao et al.
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P. Kane et al.
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Zhong-Xu Hu et al.
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Huaqing Wang et al.
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Pengfei Liang et al.
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Haichuan Chang et al.
TRIBOLOGY INTERNATIONAL (2020)
Multisensor data fusion for gearbox fault diagnosis using 2-D convolutional neural network and motor current signature analysis
Moslem Azamfar et al.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2020)
A Hybrid Temporal Feature for Gear Fault Diagnosis Using the Long Short Term Memory
Zrar Khald Abdul et al.
IEEE SENSORS JOURNAL (2020)
A fault diagnosis scheme for rotating machinery using hierarchical symbolic analysis and convolutional neural network
Yuantao Yang et al.
ISA TRANSACTIONS (2019)
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Yongbo Li et al.
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Gearbox fault diagnosis using acoustic signals, continuous wavelet transform and adaptive neuro-fuzzy inference system
Anand Parey et al.
APPLIED ACOUSTICS (2019)
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Jinyang Jiao et al.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS (2019)
Hybrid data fusion approach for fault diagnosis of fixed-axis gearbox
Vanraj et al.
STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL (2018)
Deep Coupling Autoencoder for Fault Diagnosis With Multimodal Sensory Data
Meng Ma et al.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS (2018)
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Min Xia et al.
IEEE-ASME TRANSACTIONS ON MECHATRONICS (2018)
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Yanglong Lu et al.
JOURNAL OF MANUFACTURING SYSTEMS (2018)
On the use of temperature for online condition monitoring of geared systems - A review
T. Touret et al.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2018)
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Haidong Shao et al.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2018)
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Xiaoli Tang et al.
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Dennis Hartono et al.
COGENT ENGINEERING (2018)
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Luyang Jing et al.
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Gear wear monitoring by modulation signal bispectrum based on motor current signal analysis
Ruiliang Zhang et al.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2017)
Fault diagnosis of helical gearbox using acoustic signal and wavelets
S. K. Pranesh et al.
FRONTIERS IN AUTOMOBILE AND MECHANICAL ENGINEERING (2017)
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Tayyab Waqar et al.
MEASUREMENT (2016)
Gearbox fault diagnosis based on deep random forest fusion of acoustic and vibratory signals
Chuan Li et al.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2016)
Infrared thermography for condition monitoring - A review
S. Bagavathiappan et al.
INFRARED PHYSICS & TECHNOLOGY (2013)
Electrical motor current signal analysis using a modified bispectrum for fault diagnosis of downstream mechanical equipment
F. Gu et al.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2011)
Single-pixel imaging via compressive sampling
Marco F. Duarte et al.
IEEE SIGNAL PROCESSING MAGAZINE (2008)
Compressive sensing
Richard G. Baraniuk
IEEE SIGNAL PROCESSING MAGAZINE (2007)