articleTop 1% cited
Gearbox fault diagnosis based on deep random forest fusion of acoustic and vibratory signals
Mechanical Systems and Signal Processing · 2016 · Vol. 76-77 · pp. 283–293
Chuan Li✉(Chongqing Technology and Business University)René–Vinicio Sánchez(Politecnica Salesiana University)Grover Zurita(Politecnica Salesiana University)Mariela Cerrada(Politecnica Salesiana University)Diego Cabrera(Politecnica Salesiana University)Rafael E. Vásquez(Universidad Pontificia Bolivariana)
Machine Fault Diagnosis TechniquesGear and Bearing Dynamics AnalysisFault Detection and Control SystemsRandom forestAcoustic emissionFault (geology)Fuse (electrical)SIGNAL (programming language)Computer scienceDeep learningFusionAccelerometerSensor fusion
Funding
- National Natural Science Foundation of China
Citations
448
FWCI
34.65
field-weighted impact
References
42
Percentile
100%
vs. same field & year
Citations per year
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References
Deep learning in neural networks: An overview
Neural Networks · 2014 · 17,774 citations
Reducing the Dimensionality of Data with Neural Networks
Science · 2006 · 20,627 citations
Random Forests
Machine Learning · 2001 · 121,242 citations
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