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Reliability Evaluation of Piston Pump Based on Comprehensive Evaluation Index

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Abstract After focusing on the randomness of the degradation process of the piston pump, the randomness lead to the proposal of a method based on the comprehensive evaluation index to select the characteristic parameters of different levels and characteristics. It was aimed to characterize the process of degradation. Initially the sensitive characteristics of the piston pump degradation were screened out, followed by the short-time test with a small sample for reliability assessment performed on the piston pump valve plate. The local characteristic-scale decomposition was employed to decompose the vibrational signal. Features characterizing the degradation of the valve plate were selected on the basis of the comprehensive evaluation index. Further application of the Principal Component Analysis algorithm was used to transform the degraded feature data to reduce dimension and extract the feature quantities. Then these feature quantities were substituted into the Weibull proportional reliability model. It aimed to calculate the reliability of the piston pump under different degradation states. The bizarre results showed that the combination of real-time effective features and reliability models not only fully reflect the operating state of the piston pump but also effectively evaluate the reliability of the piston pump.
Title: Reliability Evaluation of Piston Pump Based on Comprehensive Evaluation Index
Description:
Abstract After focusing on the randomness of the degradation process of the piston pump, the randomness lead to the proposal of a method based on the comprehensive evaluation index to select the characteristic parameters of different levels and characteristics.
It was aimed to characterize the process of degradation.
Initially the sensitive characteristics of the piston pump degradation were screened out, followed by the short-time test with a small sample for reliability assessment performed on the piston pump valve plate.
The local characteristic-scale decomposition was employed to decompose the vibrational signal.
Features characterizing the degradation of the valve plate were selected on the basis of the comprehensive evaluation index.
Further application of the Principal Component Analysis algorithm was used to transform the degraded feature data to reduce dimension and extract the feature quantities.
Then these feature quantities were substituted into the Weibull proportional reliability model.
It aimed to calculate the reliability of the piston pump under different degradation states.
The bizarre results showed that the combination of real-time effective features and reliability models not only fully reflect the operating state of the piston pump but also effectively evaluate the reliability of the piston pump.

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