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亲爱的研友该休息了!由于当前在线用户较少,发布求助请尽量完整的填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!身体可是革命的本钱,早点休息,好梦!
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2024-02-17 加入
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Evolvable graph neural network for system-level incremental fault diagnosis of train transmission systems
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A Blind Deconvolution Approach Based on Spectral Harmonics-to-Noise Ratio for Rotating Machinery Condition Monitoring
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Compound faults diagnosis method for wind turbine mainshaft bearing with Teager and second-order stochastic resonance
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Compound fault diagnosis of wind turbine bearing under ultra-low speed operations using generalized sparse spectral coherence
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A blind deconvolution algorithm based on backward automatic differentiation and its application to rolling bearing fault diagnosis
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Minimum noise amplitude deconvolution and its application in repetitive impact detection
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Cyclostationary harmonic product spectrum with its application for rolling bearing fault resonance frequency band adaptive location
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A minimum entropy deconvolution-enhanced convolutional neural networks for fault diagnosis of axial piston pumps
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Feature Mode Decomposition: New Decomposition Theory for Rotating Machinery Fault Diagnosis
3个月前
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速度真快
8个月前
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