Effective component extraction for hydraulic pump pressure signal based on fast empirical mode decomposition and relative entropy
Source abstract
Abstract
As the core power source of the hydraulic transmission system, hydraulic pump has been widely used in various industrial machinery and national defense equipment. It is of great significance to explore the monitoring of the health status of the hydraulic pump. It is also necessary to extract the effective components in condition monitoring of the hydraulic pump. In this work, based on fast empirical mode decomposition (FEMD) and relative entropy, a novel method is proposed for extracting the effective components of the signal. The original signal can be automatically separated by FEMD, and the useful components of the signal can be obtained via the measurement of relative entropy. Through the validation of the numerical experiment and measured data, the results indicate that the method presents good ability in the useful component extraction for signals with multi-frequency vibration. It provides an effective solution for the reduction of the interference of useless signals, including the direct current component and noise. The desired useful signals are also accurately reconstructed.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Machine Fault Diagnosis Techniques · Hydraulic and Pneumatic Systems · Fault Detection and Control Systems
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Ningbo Academy of Product Quality Inspection 1 , Ningbo 315048, China
National Research Center of Pumps, Jiangsu University 2 , Zhenjiang 212013, China
State Key Laboratory of Fluid Power and Mechatronic Systems, Zhejiang University 3 , Hangzhou 310027, China
Funding
National Key Research and Development Program of China · China Postdoctoral Science Foundation · Open Foundation of the State Key Laboratory of Fluid Power and Mechatronic Systems · Science and Technology Service Demonstration Program of Ningbo City · Youth Talent Development Program of Jiangsu University · National Natural Science Foundation of China
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