A novel fault diagnosis method based on EEWT-EWLTSA and improved deep ELM. [PDF]
Yang J, Xu A.
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Research and operational challenges of electric vehicles gear oils. [PDF]
Barglik E +4 more
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Condition Monitoring System for Planetary Journal Bearings in Wind Turbines Based on Surface Acoustic Wave Measurements-Validation on a System Level. [PDF]
Decker TM +6 more
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Rotating Electromechanical System Dataset for Condition Monitoring. [PDF]
Saucedo-Dorantes JJ +3 more
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A Physics-Guided Dual-Sensor Framework for Bearing Fault Diagnosis in PMDC Motor Drives. [PDF]
Sim TS, Aronwora NC, Hur JW.
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Gear fault diagnosis of wind turbine drivetrains using multi-source information fusion and ensemble learning in a simulation bench study. [PDF]
Kang X, Shao L, Zhao B.
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State reliability analysis methods for nonlinear systems integrating adaptive entropy weighted grey relation and Dempster-Shafer's Theory. [PDF]
Gou L, Zhang J, Qi L, Wen L.
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Multi-scale entropy analysis of acoustic emission for gearbox fault severity classification. [PDF]
Sánchez RV +6 more
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Electric torque for fault severity diagnosis in gearbox-type load: ML approaches based on Poincaré plot and statistical features. [PDF]
Cerrada M +4 more
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Diagnosis based on vibration analysis is a method that has many benefits to offer. It is easy to implement the method on existing transmissions by attaching accelerometers outside the gearbox housing. If you have knowledge of the gearbox geometry, such as number of tooth on the gears and types of bearings, and any unwanted frequencies can be filtered ...
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