Hydraulic Actuator Internal Leakage Detection Using Cross-Correlation Time Series Analysis

May, Morgan; Sepehri, Nariman; Kinsner, W.

doi:10.1115/fpmc2014-7804

Cited by 10 publications

(6 citation statements)

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“…May et al [14] describes a method based on cross-correlation between the two chamber pressures to detect internal leakage. The method is tested experimentally on a position trajectory with a series of steps where internal leakage is emulated with a needle valve between the two cylinder chambers.…”

Section: Internal and External Leakagementioning

confidence: 99%

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

2021

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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.

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Section: Internal and External Leakagementioning

confidence: 99%

“…Goharrizi and Sepehri [15] uses wavelet analysis to detect internal leakage in actuators. Internal leakage down to 0.2 L/min is detected experimentally on the test setup used in May et al [14]. Goharrizi et al [16] further uses wavelet analysis to detect external leakage and isolates it from internal leakage.…”

Section: Internal and External Leakagementioning

confidence: 99%

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

2021

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“…The working principle of the hydrostatic pumps, in general, is based on successive displacements of elements arranged in a rotational schema [1] and hence reveals a pulsating output flow rate [2]. See the measurement in resulting pressure wave can be used to gain symp for faults such as sealing defects [6], [7].…”

Section: Condition Monitoring (Cm) Hydrostatic Mps Wear Detection mentioning

confidence: 99%

“…See the measurement in Figure 2. The wave can be used to gain symptoms for faults such as sealing defects [6], [7]. The degradation of the components is often caused by erosion wear, whose progression is affected by the quality of the lubricating medium, i.e.…”

Section: Condition Monitoring Of Wear Progress In Hydrostatic Pumpsmentioning

confidence: 99%

Condition Monitoring of Wear Progress in Hydrostatic Pumps

Esrafili¹

2018

IJTSRD

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This paper represents a practical methodology for monitoring the wear in the displacement elements in hydrostatic pumps. The technique is based on appropriate signal processing of the output pressure wave which reflects the geometrical changes in the internal parts. The geometry deviates in case of wear and the degree of deviation can be spatially analyzed to gain an indicator to the wear progress. The method is effective and computationally efficient in comparison to other algorithms, for ex. wavelet transformation. The design is followed by a successful experimental validation, for a case of internal gear pump (IGP).

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“…The method was augmented by the same authors for the detection of external actuator leakage [15]. On the same experimental setup, the lowest level of internal leakage was detected by the cross-correlation of chamber pressures [16].…”

Section: Introductionmentioning

confidence: 99%

Signal-Based Gas Leakage Detection for Fluid Power Accumulators in Wind Turbines

et al. 2017

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This paper describes the development and application of a signal-based fault detection method for identifying gas leakage in hydraulic accumulators used in wind turbines. The method uses Multiresolution Signal Decomposition (MSD) based on wavelets for feature extraction from a single fluid pressure measurement located close to the accumulator. Gas leakage is shown to create increased variations in this pressure signal. The Root Mean Square (RMS) of the detail coefficient Level 9 from the MSD is found as the most sensitive and robust fault indicator of gas leakage. The method is verified on an experimental setup allowing for the replication of the conditions for accumulators in wind turbines. Robustness is tested in a multi-fault environment where gas and external fluid leakage occurs simultaneously. In total, 24 experiments are performed, which show that the method is sensitive to gas leakage in the desired range and can be isolated from external fluid leakage. Additionally, the robustness to other operating conditions, such as wind speeds between rated and cut-off, turbulence intensity and ambient temperature is evaluated via simulations of a pitch system in a wind turbine using the Fatigue, Aerodynamics, Structures and Turbulence program (FAST). Simulation shows that robustness is affected at low ambient temperatures, however, detection is permitted in the range of 22-60 • C.

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Hydraulic Actuator Internal Leakage Detection Using Cross-Correlation Time Series Analysis

Cited by 10 publications

References 0 publications

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

Condition Monitoring of Wear Progress in Hydrostatic Pumps

Signal-Based Gas Leakage Detection for Fluid Power Accumulators in Wind Turbines

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