An Analysis of HUMS Vibration Diagnostic Capabilities

Larder, B.

doi:10.4050/jahs.45.28

Cited by 13 publications

(13 citation statements)

References 2 publications

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“…In addition to that, "both the broad-band impulsive component and the random noise become more prevalent." [24] The trend displayed by the sinusoidal components are more observable in the frequency domain while the trends displayed by the broad-band impulsive components are more observable in the time domain. Therefore, to capture these trends, time-frequency analysis is considered as a proper technique [25].…”

Section: Time-frequency Analysismentioning

confidence: 98%

A Review of Gearbox Condition Monitoring Based on vibration Analysis Techniques Diagnostics and Prognostics

Sait

Sharaf-Eldeen

2011

Rotating Machinery, Structural Health Monitoring, Shock and Vibration, Volume 5

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This paper provides a review of the literature on condition monitoring of a gearbox. The progress and changes over the past 30 years in failure detection techniques of rotating machinery including helicopter transmission are reviewed. Vibration Analysis techniques, indicators and parameters used in condition monitoring are arranged in a historical perspective. The use of vibration-based analysis damage detection techniques is classified and discussed in details. The capability of each technique to sense failure and damage in rotary equipments is addressed. These diagnostics techniques in gearbox condition monitoring are organized and regrouped in this review paper in a better approach so they can be easily recognized.

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Section: Time-frequency Analysismentioning

confidence: 98%

A Review of Gearbox Condition Monitoring Based on vibration Analysis Techniques Diagnostics and Prognostics

Sait

Sharaf-Eldeen

2011

Rotating Machinery, Structural Health Monitoring, Shock and Vibration, Volume 5

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“…Vibration signatures of vital components are recorded and analysed by HUMS to detect wearing and cracks. [9,10] Samuel and Pines [11] provide a detail review of vibration based techniques. Many HUMS systems are based on usage monitoring.…”

Section: Introductionmentioning

confidence: 98%

Reconstruction of the area-moment-of-inertia of a rotor blade using a shifting point-load and the end-slope

Moaveni

2016

Inverse Problems in Science and Engineering

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The main focus of this study was to develop an inverse model that could be used to determine the changes in sectional areamoment-of-inertia of a helicopter rotor blade from the knowledge of a shifting point-load and the end-slope data. In this investigation, the cross-sectional area-moment-of-inertias of a rotor blade model with n segments are reconstructed using a shifting point-load and the corresponding end-slope data. The end-slope data used in this inverse problem were numerically generated using the finite element method. The end-slope data and the loading were then used in the inverse problem to reconstruct the cross-sectional area-momentof-inertias for the model. To solve the inverse problem, the solution domain was discretized into finite number of segments, and a shifting point-load was applied to the mid-point of each segment. The beam equation was then integrated to create a set of linear equations in terms of loading and end-slopes. Next, the resulting set of equations was solved simultaneously to recover the area-moment-of-inertia for each segment. A series of numerical experiments were performed to check the validity and sensitivity of the inverse model. Comparison of the inverse solutions with the direct solutions confirms that the variations in the area-moment-of-inertia for a helicopter rotor blade can be reconstructed with good accuracy from the knowledge of the shifting point-load and end-slopes.

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“…Via an analysis of its vibration diagnostic capabilities, Ref. 13 shows HUMS to be an effective maintenance tool. A wide range of faults of gearboxes, shafts, bearings and tail rotors have been detected using vibration monitoring.…”

Section: Introductionmentioning

confidence: 99%

Helicopter Health Monitoring Using an Adaptive Estimator

Alkahe¹,

Rand²,

Oshman³

2003

j am helicopter soc

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A new health and usage monitoring methodology for detection and identification of damage in a helicopter rotor is presented. A full-scale rotor analysis in forward flight has been carried out using a detailed model of the coupled blade-fuselage behavior. Several rotor component faults, as well as local blade stiffness defects are considered. A set of Kalman filters is constructed, where the calculated blade tip response, in addition to elastic modes, comprises a state vector. In the proposed approach, each filter is based on the assumption that a particular fault has occurred. The best fitting model, according to measurements taken from the truth model, is determined in a probabilistic manner. In the numerical study used to demonstrate the performance of the method, two sets of noisy measurements are generated. The first set is based on blade tip sensors, and the second set consists of non-rotating hub loads. A Monte-Carlo analysis followed by a statistical experiment enables a comprehensive view of the statistical nature of the results. A parametric study is presented and conclusions concerning the detectability of damage in a helicopter rotor and the efficiency of the proposed method are drawn.

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An Analysis of HUMS Vibration Diagnostic Capabilities

Cited by 13 publications

References 2 publications

A Review of Gearbox Condition Monitoring Based on vibration Analysis Techniques Diagnostics and Prognostics

A Review of Gearbox Condition Monitoring Based on vibration Analysis Techniques Diagnostics and Prognostics

Reconstruction of the area-moment-of-inertia of a rotor blade using a shifting point-load and the end-slope

Helicopter Health Monitoring Using an Adaptive Estimator

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