Detection and Isolation of Leakage and Valve Faults in Hydraulic Systems in Varying Loading Conditions, Part 2: Fault Detection and Isolation Scheme

Nurmi, Jarmo; Mattila, Jouni

doi:10.1080/14399776.2012.10781043

Cited by 16 publications

(3 citation statements)

References 14 publications

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“…Nurmi and Mattila [143] studied the application of the UKF (Unscented Kalman Filter) algorithm in the fault diagnosis of the swing cylinder system, which is controlled by the four-position three-way proportional directional valve. The experimental results show that the proposed UKF fault diagnosis method can effectively diagnose the leakage even when the leakage flow is only 5% of the valve port flow.…”

Section: Model-based Fault Diagnosis Methodsmentioning

confidence: 99%

Research and Development of Electro-hydraulic Control Valves Oriented to Industry 4.0: A Review

Shen

Liu

et al. 2020

Chin. J. Mech. Eng.

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Electro-hydraulic control valves are key hydraulic components for industrial applications and aerospace, which controls electro-hydraulic motion. With the development of automation, digital technology, and communication technology, electro-hydraulic control valves are becoming more digital, integrated, and intelligent in order to meet the requirements of Industry 4.0. This paper reviews the state of the art development for electro-hydraulic control valves and their related technologies. This review paper considers three aspects of state acquisition through sensors or indirect acquisition technologies, control strategies along with digital controllers and novel valves, and online maintenance through data interaction and fault diagnosis. The main features and development trends of electro-hydraulic control valves oriented to Industry 4.0 are discussed.

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Section: Model-based Fault Diagnosis Methodsmentioning

confidence: 99%

Research and Development of Electro-hydraulic Control Valves Oriented to Industry 4.0: A Review

Shen

Liu

et al. 2020

Chin. J. Mech. Eng.

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show abstract

“…Conventional fault diagnosis in hydraulic valves relies on the measurement of valve performance, which mainly refers to the measurement of flow, pressure and other physical quantities. However, conventional hydraulic fault diagnosis methods can only determine the fault of the hydraulic valve and it is difficult to determine the fault type, let alone the location of the internal fault [5,6]. At present, hydraulic fault diagnosis methods mainly focus on a combination of signal preprocessing and pattern recognition.…”

Section: Introductionmentioning

confidence: 99%

A fault diagnosis method for an electro-hydraulic directional valve based on intrinsic mode functions and weighted densely connected convolutional networks

Shi¹,

Ren²,

Tang³

et al. 2021

Meas. Sci. Technol.

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Wear caused by contaminated oil or frequent reciprocating of the spool is the chief source of internal leakage in electro-hydraulic directional valves. It is difficult to detect the location and extent of the internal wear of directional valves because the hydraulic transmission works in a closed system. Therefore, this paper focuses on the internal leakage fault diagnosis caused by the wear based on intrinsic mode functions (IMFs) and weighted densely connected convolutional networks (WDenseNets), especially for electro-hydraulic directional valves. First, the empirical mode decomposition is performed in three subsections, respectively, and a series of IMF components are obtained correspondingly. Combined with the ReliefF feature selection algorithm, the optimal IMF component is selected. The weights assigned to the optimal IMF mode are normalized and then weighted as the subsequent diagnostic feature vector. Then, a WDenseNet inspired by squeeze-and-excitation networks is designed. Finally, the weighted optimal IMF component is used as the input for the WDenseNet for fault identification and classification. In addition, an experimental method to investigate the internal leakage faults associated with wear is developed. Theoretical and experimental results indicate that the fault diagnosis method can be used to identify the type of internal leakage and wear location in electro-hydraulic directional valves. Compared with other intelligent diagnosis methods, this method has higher diagnostic accuracy and better training stability. The effectiveness of the proposed method is also verified through an experimental study of the bearing fault in an axial piston pump.

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“…The effectiveness of the proposed method was only evaluated based on simulation results. Nurmi and Mattila [4] proposed a fault detection and isolation approach applied to a 4/3 directional proportional valve controlling a hydraulic cylinder. Internal and external leakages and valve spool displacement are the detectable faults using Unscented Kalman Filter where chamber pressures, spool position, and spool velocity are estimated.…”

Section: Introductionmentioning

confidence: 99%

Online fault detection system for proportional hydraulic valves

Raduenz

Mendoza

Ferronatto

et al. 2018

J Braz. Soc. Mech. Sci. Eng.

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This paper presents the development of a method for condition monitoring and online fault detection on proportional directional valves. The systems that such valves are part of might be sensitive for unexpected maintenance or long duration stops. Consequently, the implementation of a fault detection and monitoring system can reduce maintenance costs and increase safety. The method is based on monitoring both the valve supply current and spool position related to the spool positioning control signal. Therefore, it is applicable for valves with embedded electronics including spool position measurement and internal controller. The supply current and spool position behavior depends on the friction, flow forces, solenoid current, and valve closed loop controller performance. Furthermore, valve static and dynamic characteristics are influenced by the spool size, overlapping and manufacturing tolerances. The effectiveness of the method to monitor and detect faults in valves with different sizes and constructive parameters is shown experimentally using five different proportional valves. The proposed method requires reference parameters characterizing the valve operation without faults. Standard tests are proposed to determine healthy valve parameters. For the method valuation and validation, experimental results with the valve operating under healthy conditions and with induced faults were compared. Faults were added in a way to represent spool locking and increase of friction forces between the spool and sleeve. The obtained results show the capability the method for the detection of faults classified as severe even if the valve controller attempts to compensate the faulty behavior.

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Detection and Isolation of Leakage and Valve Faults in Hydraulic Systems in Varying Loading Conditions, Part 2: Fault Detection and Isolation Scheme

Cited by 16 publications

References 14 publications

Research and Development of Electro-hydraulic Control Valves Oriented to Industry 4.0: A Review

Research and Development of Electro-hydraulic Control Valves Oriented to Industry 4.0: A Review

A fault diagnosis method for an electro-hydraulic directional valve based on intrinsic mode functions and weighted densely connected convolutional networks

Online fault detection system for proportional hydraulic valves

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