Reliability and Life Study of Hydraulic Solenoid Valve - Part 2 - Experimental Study

Angadi, Santosh; Jackson, Robert L.; Choe, Song-Yul; Flowers, George T.; Suhling, Jeffrey C.; Chang, Young-Kwon; Ham, Jung-Keol; Bae, Jae-il

doi:10.4271/2009-01-0413

Cited by 4 publications

(5 citation statements)

References 13 publications

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“…As in the temperature case, it is possible to detect solenoid burnouts by monitoring the valve's current. In a very similar way as for the temperature case, a fast current peak bigger than the nominal current occurs when solenoid burnouts [24].…”

Section: Condition Monitoring Techniquesmentioning

confidence: 60%

“…A rarer case is the solenoid burnout fault, which can be detected by monitoring the solenoid temperature. When a solenoid burnout happens, the temperature increases in short time periods [24]. The temperature increase is usually detectable when the leakage reaches critical conditions for the plant and cannot be used to identify early symptoms of the fault, which can be mistakenly associated to daily valve temperature variations.…”

Section: Condition Monitoring Techniquesmentioning

confidence: 99%

“…Leak detection can be considered as a two-class problem, because the objective is to determine whether the valve is healthy or not [28]. When identifying the leakage level [29] and/or the failure mode [24], the problem becomes a multiclass one: the class zero is the nominal situation, in which leakage has not occurred, while the other classes correspond to different leakage rates and/or failure modes. In order to reduce the task complexity, the problem can also be decomposed in different target layers through a hierarchical ML model: i.e.…”

Section: For Predictive Maintenancementioning

confidence: 99%

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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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Section: Condition Monitoring Techniquesmentioning

confidence: 60%

Section: Condition Monitoring Techniquesmentioning

confidence: 99%

Section: For Predictive Maintenancementioning

confidence: 99%

See 1 more Smart Citation

Electrical and mechanical data fusion for hydraulic valve leakage diagnosis

Conti

Madeo

Boiano

et al. 2023

Meas. Sci. Technol.

View full text Add to dashboard Cite

show abstract

“…The performance of the valves can be simulated by using the AMESIM soft. Before carrying on performance reliability analysis for the aerospace valves [7] , it is necessary to compare the aerospace valves performance test data with the results of the dynamic performance simulation model, through which to verify the validity of the simulation model. According to the reliability influencing factors analysis, the main failure modes and key component analysis, random parameters which affect valve system's performance reliability (such as friction, clearance, deformation and dimension error) can be obtained.…”

Section: • Aerospace Valve Systems Performances Reliability Analysismentioning

confidence: 99%

“…Quantitative component reliability assessment methods can be divided into two types: mathematical modeling [2][3] and failure physical method [4][5]. The first method considers that the component characteristic values obey the statistical rules that have been validated and the component reliability parameters can be obtained from a statistical point of view.…”

Section: Introductionmentioning

confidence: 99%

Research and application of Aerospace valve reliability analysis technique

Cui

Song

et al. 2011

2011 International Conference on Quality, Reliability, Risk, Maintenance, and Safety Engineering

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The valve is a very important part in the astronautic systems. The paper presents the reliability analysis ideas and technological process for the Aerospace valve during the valves design phase. The method is based on the qualitative analysis method (FMECA) and the quantitative analysis method (Stress Strength interference theory), including the weakness components reliability analysis and the valves system performance reliability analysis. Firstly, the main failure modes and weaknesses of the aerospace valves are received by using Failure Modes Effect and Critical Analysis (FMECA) and investigation of similar valves testing data. Secondly, based on the analysis of influencing factors and its randomness, combining the failure physics model with stress strength interference theory, the reliability models for the weaknesses and main failures can be received and the reliability index can be calculated. Thirdly, considering that the valves are selffeedback control systems, the reliability of the performance of the valve should be paid attention to. So based on the simulation model for the operation characteristics of the whole valves established by AMESIM software, the performance reliability of the valves is analyzed in the paper. Lastly, an aerospace valve reliability analysis example is given, and the result indicates the proposed method is reasonable and helpful.

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Power losses and thermodynamic analysis of the solenoid fuel injector

Xie¹,

Zhang²,

Yin³

2017

International Journal of Applied Electromagnetics and Mechanics

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The thermal field as a vinculum between electromagnetic and fluid flow of the solenoid fuel injector (SFI) which greatly impact on its comprehensive performances. For internal combustion engines, the higher fuel temperature is beneficial to generate smaller fuel droplets and faster evaporation. In order to reveal the coupling relationship among the multi-physical fields, a SFI is designed and manufactured, and four driving strategies circuits are designed. It is found that, for the certain magnetic circuit structure, the driving strategy is one of the most important factors that impact on the power losses and thermodynamic of the SFI. The power losses are the main heat source generating high temperature for the coil. However, the high temperature of the coil is a disaster for the dynamic response and lifetime of the SFI, this phenomenon has been investigated by Finite Element Method (FEM) coupling simulation and experiments. The theoretical models of different power losses are carried out to investigate, and an experimental apparatus is designed and established to measure the temperature distribution of SFI magnetic circuit.

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Reliability and Life Study of Hydraulic Solenoid Valve - Part 2 - Experimental Study

Cited by 4 publications

References 13 publications

Electrical and mechanical data fusion for hydraulic valve leakage diagnosis

Electrical and mechanical data fusion for hydraulic valve leakage diagnosis

Research and application of Aerospace valve reliability analysis technique

Power losses and thermodynamic analysis of the solenoid fuel injector

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