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Fannia Pacheco et al.
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B. R. Nayana et al.
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Mariela Cerrada et al.
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Chuan Li et al.
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Zhipeng Feng et al.
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Mariela Cerrada et al.
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Gearbox fault diagnosis based on deep random forest fusion of acoustic and vibratory signals
Chuan Li et al.
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Dong Wang
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Fannia Pacheco et al.
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Chuan Li et al.
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The distance function effect on k-nearest neighbor classification for medical datasets
Li-Yu Hu et al.
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Feature extraction and fault severity classification in ball bearings
Aditya Sharma et al.
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Bearing Fault Diagnosis Using Feature Ranking Methods and Fault Identification Algorithms
V. Vakharia et al.
INTERNATIONAL CONFERENCE ON VIBRATION PROBLEMS 2015 (2016)
Fuzzy information system for condition based maintenance of gearbox
Sajid Hussain
JOURNAL OF INTELLIGENT & FUZZY SYSTEMS (2015)
Context awareness for maintenance decision making: A diagnosis and prognosis approach
Diego Galar et al.
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Chuan Li et al.
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Multi-Stage Feature Selection by Using Genetic Algorithms for Fault Diagnosis in Gearboxes Based on Vibration Signal
Mariela Cerrada et al.
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Fault diagnosis of spur gearbox based on random forest and wavelet packet decomposition
Diego Cabrera et al.
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Dimensionality reduction via variables selection - Linear and nonlinear approaches with application to vibration-based condition monitoring of planetary gearbox
A. Bartkowiak et al.
APPLIED ACOUSTICS (2014)
Zero crossing and coupled hidden Markov model for a rolling bearing performance degradation assessment
Tao Liu et al.
JOURNAL OF VIBRATION AND CONTROL (2014)
Condition monitoring and fault diagnosis of planetary gearboxes: A review
Yaguo Lei et al.
MEASUREMENT (2014)
Crack detection in a rotating shaft using artificial neural networks and PSD characterisation
A. A. Mohammed et al.
MECCANICA (2014)
Wavelets for fault diagnosis of rotary machines: A review with applications
Ruqiang Yan et al.
SIGNAL PROCESSING (2014)
A review on empirical mode decomposition in fault diagnosis of rotating machinery
Yaguo Lei et al.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2013)
Feature ranking for support vector machine classification and its application to machinery fault diagnosis
Zhiliang Liu et al.
PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART C-JOURNAL OF MECHANICAL ENGINEERING SCIENCE (2013)
Surface Electromyography Signal Processing and Classification Techniques
Rubana H. Chowdhury et al.
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Miao Liu et al.
SENSORS AND ACTUATORS B-CHEMICAL (2013)
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Stanislav Ziaran et al.
JOURNAL OF VIBRATION AND ACOUSTICS-TRANSACTIONS OF THE ASME (2013)
Intelligent fault diagnosis of rotating machinery using infrared thermal image
Ali M. D. Younus et al.
EXPERT SYSTEMS WITH APPLICATIONS (2012)
Identification of bearing faults using time domain zero-crossings
P. E. William et al.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2011)
A comparison of random forest and its Gini importance with standard chemometric methods for the feature selection and classification of spectral data
Bjoern H. Menze et al.
BMC BIOINFORMATICS (2009)
Gear crack level identification based on weighted K nearest neighbor classification algorithm
Yaguo Lei et al.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2009)
A new approach to intelligent fault diagnosis of rotating machinery
Yaguo Lei et al.
EXPERT SYSTEMS WITH APPLICATIONS (2008)
Random forests classifier for machine fault diagnosis
Bo-Suk Yang et al.
JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY (2008)
Top 10 algorithms in data mining
Xindong Wu et al.
KNOWLEDGE AND INFORMATION SYSTEMS (2008)
A review on machinery diagnostics and prognostics implementing condition-based maintenance
Andrew K. S. Jardine et al.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2006)
Fault detection in a multistage gearbox by demodulation of motor current waveform
A. R. Mohanty et al.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS (2006)
Theoretical and empirical analysis of ReliefF and RReliefF
M Robnik-Sikonja et al.
MACHINE LEARNING (2003)