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- W2371960997 abstract "Running-in wear test for materials of piston ring against cylinder liner was conducted by a pin-on-disc tester.The wear particle group image under different rubbing status was analyzed by a ferrographic microscope.Low frequency feature parameters and high frequency feature parameters of wear particle group image were extracted by using singular entropy.The results show that both low frequency feature parameters and high frequency feature parameters reveal the feature of wear particle.Low frequency feature parameters reflect scale of wear particle,the larger low frequency feature parameters,the larger wear particle.High frequency feature parameters reflect quantity of wear particle,the larger high frequency feature parameters,the more wear particle.Low frequency feature parameters and high frequency feature parameters can be considered as feature parameter of wear particle group." @default.
- W2371960997 created "2016-06-24" @default.
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- W2371960997 date "2007-01-01" @default.
- W2371960997 modified "2023-09-24" @default.
- W2371960997 title "Feature extraction of wear particle group based on singular entropy" @default.
- W2371960997 hasPublicationYear "2007" @default.
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