Fault Detection of a Solenoid Valve for Hydraulic Systems in Vehicles

Moseler, Olaf; Straky, Harald

doi:10.1016/s1474-6670(17)37347-0

Cited by 7 publications

(3 citation statements)

References 1 publication

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Moseler and Straky [30] uses a model based approach for fault detection of a solenoid valve for hydraulic systems in vehicles. The method is based on estimating the stroke from voltage and current measurements and then use the stroke to detect failures such as blocked spool, increased friction and wrong neutral position by comparing it to a healthy operating valve.…”

Section: Valvesmentioning

confidence: 99%

See 1 more Smart Citation

Fault Detection and Diagnosis Methods for Fluid Power Pitch System Components—A Review

2021

View full text Add to dashboard Cite

Wind turbines have become a significant part of the global power production and are still increasing in capacity. Pitch systems are an important part of modern wind turbines where they are used to apply aerodynamic braking for power regulation and emergency shutdowns. Studies have shown that the pitch system is responsible for up to 20% of the total down time of a wind turbine. Reducing the down time is an important factor for decreasing the total cost of energy of wind energy in order to make wind energy more competitive. Due to this, attention has come to condition monitoring and fault detection of such systems as an attempt to increase the reliability and availability, hereby the reducing the turbine downtime. Some methods for fault detection and condition monitoring of fluid power systems do exists, though not many are used in today’s pitch systems. This paper gives an overview of fault detection and condition monitoring methods of fluid power systems similar to fluid power pitch systems in wind turbines and discuss their applicability in relation to pitch systems. The purpose is to give an overview of which methods that exist and to find areas where new methods need to be developed or existing need to be modified. The paper goes through the most important components of a pitch system and discuss the existing methods related to each type of component. Furthermore, it is considered if existing methods can be used for fluid power pitch systems for wind turbine.

show abstract

Section: Valvesmentioning

confidence: 99%

“…Jouppila et al, [29] inc. friction model based i v and V v Sim. Moseler and Straky [30] inc. friction and blocked model based i v Exp. Raduenz et al [31] locking and broken spring model based i v and x v Exp.…”

Section: Signals Validationmentioning

confidence: 99%

Fault Detection and Diagnosis Methods for Fluid Power Pitch System Components—A Review

2021

View full text Add to dashboard Cite

show abstract

“…A hydraulic system is a self-contained system that produces large pressure from a relatively small-sized device. Thus, hydraulic systems are used in various applications such as automotive systems, construction machinery, agriculture equipment, and in many other industrial settings [ 1 ]. All of these hydraulic systems have a valve that controls the pressure of the fluid; an exact amount of pressure can be supplied to each required part.…”

Section: Introductionmentioning

confidence: 99%

A Convolutional Autoencoder Based Fault Diagnosis Method for a Hydraulic Solenoid Valve Considering Unknown Faults

Yoo,

Jung,

Lee

et al. 2023

Sensors

View full text Add to dashboard Cite

The hydraulic solenoid valve is an essential electromechanical component used in various industries to control the flow rate, pressure, and direction of hydraulic fluid. However, these valves can fail due to factors like electrical issues, mechanical wear, contamination, seal failure, or improper assembly; these failures can lead to system downtime and safety risks. To address hydraulic solenoid valve failure, and its related impacts, this study aimed to develop a nondestructive diagnostic technology for rapid and accurate diagnosis of valve failures. The proposed approach is based on a data-driven model that uses voltage and current signals measured from normal and faulty valve samples. The algorithm utilizes a convolutional autoencoder and hypersphere-based clustering of the latent variables. This clustering approach helps to identify patterns and categorize the samples into distinct groups, normal and faulty. By clustering the data into groups of hyperspheres, the algorithm identifies the specific fault type, including both known and potentially new fault types. The proposed diagnostic model successfully achieved an accuracy rate of 98% in classifying the measurement data, which were augmented with white noise across seven distinct fault modes. This high accuracy demonstrates the effectiveness of the proposed diagnosis method for accurate and prompt identification of faults present in actual hydraulic solenoid valves.

show abstract

Modellgestützte Überwachung und Fehlerdiagnose für Kraftfahrzeuge

Isermann

Fahrdynamik-Regelung

View full text Add to dashboard Cite

Fault Detection of a Solenoid Valve for Hydraulic Systems in Vehicles

Cited by 7 publications

References 1 publication

Fault Detection and Diagnosis Methods for Fluid Power Pitch System Components—A Review

Fault Detection and Diagnosis Methods for Fluid Power Pitch System Components—A Review

A Convolutional Autoencoder Based Fault Diagnosis Method for a Hydraulic Solenoid Valve Considering Unknown Faults

Modellgestützte Überwachung und Fehlerdiagnose für Kraftfahrzeuge

Contact Info

Product

Resources

About