Inclusion of Measured Frequency- And Amplitude-Dependent Mount Properties in Vehicle or Machinery Models

Jeong, Tae-Seok; Singh, Rajendra

doi:10.1006/jsvi.2000.3149

Cited by 31 publications

(17 citation statements)

References 31 publications

(31 reference statements)

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“…Small nonlinearities might already adversely affect the achievable vibration compensation [45]. However, several studies have shown that conventional, passive HEMs exhibit a highly nonlinear, amplitude-dependent behavior, due to the elastomer material, the fluid channel's dynamics and the characteristics of the decoupling membrane [37,38,[46][47][48][49][50][51][52][53]. Hence, this section analyses if it is a valid assumption to treat an AEM's secondary path as being linear.…”

Section: Nonlinearitymentioning

confidence: 97%

Experimental and analytical study of secondary path variations in active engine mounts

Hausberg

Scheiblegger

Pfeffer

et al. 2015

Journal of Sound and Vibration

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Section: Nonlinearitymentioning

confidence: 97%

Experimental and analytical study of secondary path variations in active engine mounts

Hausberg

Scheiblegger

Pfeffer

et al. 2015

Journal of Sound and Vibration

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“…We illustrate the algorithm by way of an example of nonlinear vibrations in engineering systems; we analyze the phenomenon of amplitude-dependent frequency [9], [11], [25]. The frequency of the observed signal depends on the amplitude of the excitation signal, which is composed of deterministic and stochastic components.…”

Section: Simulation Resultsmentioning

confidence: 99%

Fault modelling using a mixture of conditional Gaussian Transitions

Jovanović

McVinish

Pollett

2011

2011 19th Mediterranean Conference on Control &Amp; Automation (MED)

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Abstract-To model a fault that can be caused by more than one source, a mixture of conditional Gaussian transitions is proposed. The conditional means are modelled by recurrent neural networks. An expectation-maximization (EM) algorithm is used to estimate model parameters. By grouping known types of faults it is possible to form a bank of different fault models.Index Terms-Fault modelling, mixture of Gaussian transitions, neural networks, EM algorithm.

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“…Although the model must correctly present the behavior of the mount, it should be simple enough to prevent unnecessary complexity. The nonlinear behavior of a hydraulic mount has been studied in different articles including [3,[8][9][10][11]. The models show improvements over simple linear models.…”

Section: Hydraulic Engine Mountsmentioning

confidence: 99%

Application of Sensitivity Analysis to the Development of High Performance Adaptive Hydraulic Engine Mounts

Foumani¹,

Khajepour²,

Durali³

2003

Vehicle System Dynamics

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In this paper, the sensitivity analysis is applied to the development of high performance adaptive hydraulic mounts. The analysis allows us to select the most effective design parameters for tuning an adaptive mount to different road and engine conditions. It is shown that in the low frequency road excitation, the upper chamber compliance and inertia of the fluid column in the inertia track are the most influential properties in changing the dynamic stiffness of the hydraulic mount. These properties for the high frequency engine excitations are the upper compliance and the inertia of the fluid column of the decoupler. For tuning the adaptive mount to different road and engine excitation, a global optimization technique is used to find the magnitude of the adjusting parameters to minimize objective functions in low and high frequency excitations. The results indicate significant improvement over conventional hydraulic mounts. It is further shown that when the upper compliance is used as the adjusting parameter, a simple on-off control which is triggered by the engine revolution and vehicle speed is sufficient for tuning the adaptive mount.

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Inclusion of Measured Frequency- And Amplitude-Dependent Mount Properties in Vehicle or Machinery Models

Cited by 31 publications

References 31 publications

Experimental and analytical study of secondary path variations in active engine mounts

Experimental and analytical study of secondary path variations in active engine mounts

Fault modelling using a mixture of conditional Gaussian Transitions

Application of Sensitivity Analysis to the Development of High Performance Adaptive Hydraulic Engine Mounts

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