The Characteristic Improvement of Electromagnetic Proportional Directional Control Valve

Zhang, Hua

doi:10.1155/2018/3582454

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Valves Monitoring Overview1

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Cited by 5 publications

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“…A review of the existing literature evidenced that the most common valve failures are related to the leakage generated by the spool wear and to the solenoid burnout [10][11][12][13].…”

Section: Valves Monitoring Overviewmentioning

confidence: 99%

Electrical and mechanical data fusion for hydraulic valve leakage diagnosis

Conti

Madeo

Boiano

et al. 2023

Meas. Sci. Technol.

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This paper describes a method for the identification of valves’ failure identification, with the final aim of creating a predictive maintenance architecture. After revising the scientific literature, we selected the electric current, the acoustic emission and the vibration signals as the most promising monitoring techniques. The processes of feature extraction and data fusion have been optimized to detect early symptoms of a failure. Performances of five different Machine Learning algorithms have been compared. Results, obtained in a specific case study, evidenced that a data fusion process based on vibration and current data, paired with a Random Forest model allowed a Prediction Accuracy and a Jaccard index close to 99%.

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“…A review of the existing literature evidenced that the most common valve failures are related to the leakage generated by the spool wear and to the solenoid burnout [10][11][12][13].…”

Section: Valves Monitoring Overviewmentioning

confidence: 99%