A health state pre-diagnosis method of a hydraulic actuator
By constructing the hysteresis distortion feature vector and distortion evolution curve of the hydraulic actuator, the problems of insufficient accuracy and low reliability of health diagnosis and early warning of the hydraulic actuator in the prior art are solved. This enables high-precision health status prediction and early warning of the hydraulic actuator, and improves the controllability and stability of equipment operation.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- YANCHENG JIAYIHUI HYDRAULIC MASCH EQUIP CO LTD
- Filing Date
- 2026-05-17
- Publication Date
- 2026-07-17
AI Technical Summary
Existing hydraulic actuator health diagnosis technologies cannot accurately capture internal hysteresis distortion and abnormal dynamic response of equipment, and lack the ability to dynamically track the fault evolution process, resulting in insufficient diagnostic accuracy and low early warning reliability, which cannot meet the high-precision health pre-diagnosis requirements of hydraulic actuators in industrial scenarios.
By acquiring the real-time operating parameters of the hydraulic actuator, a pressure pulse sequence is generated and a displacement response value sequence is captured simultaneously. The rising slope and overshoot of the displacement response waveform are extracted, a hysteresis distortion feature vector is constructed, and a distortion evolution curve is generated. Combined with the second-order difference value and the end slope, a collaborative evaluation is performed to achieve a pre-diagnosis of the health status.
It enables refined and dynamic characterization of the health status of hydraulic actuators, effectively identifying early degradation and latent faults, improving diagnostic accuracy and early warning capabilities, reducing the probability of unplanned downtime, extending equipment lifespan, and optimizing operation and maintenance management efficiency.
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