Practical Damper Velocity Estimation for Semi-Active Suspension Control

Lee, Daekyun; Jin, Sun; Rhee, Eun-Jun; Lee, Chibum

doi:10.1007/s12239-021-0046-y

Cited by 7 publications

(2 citation statements)

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“…The number of samples in the signal window T was N=2 12 and the sampling time was dr=0.0625 s. An example of the detection of increased dynamic interactions is shown in Figure 12.. For the selected fragments Pa and Sa, a parameterisation of the dynamic phenomena was carried out by calculating the quantitative measures in the form of a crest factor (CF), kurtosis (K), skewness (SK), maximum (MAX) and minimum (MIN) as in equations (11)(12)(13) below:…”

Section: Results Of Measurements and Their Wavelet Analysismentioning

confidence: 99%

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Application of Multiresolution Analysis Wavelet Decomposition of Vibration Signals in the Condition Monitoring of Car Suspension

Nowakowski,

Szymański,

Jósko

et al. 2024

Int. J. Automot. Mech. Eng.

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The article addresses the issue of increasing the diagnostic capabilities of the car's suspension in the EUSAMA test. A new, quantitative approach was proposed to enable the assessment of the degree of wear and clearance of the lower suspension mount. An active diagnostic experiment was performed to model the clearance in the lower suspension mounting. During the research, bolts with different diameters were used. In the signal analysis, wavelet decomposition into 12 levels was performed using the Db4 wavelet. The resonance area of the system was extracted from an approximate signal, which contained 43.5% of the relative energy. From these signals, a number of point vibration measures were calculated. Finally, the maximum value was selected due to its sensitivity to the condition, which was 48% more than the original EUSAMA results. Based on the selected diagnostic parameter, a clearance model allowing for an assessment of the clearance with statistically significant coefficients was developed.

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Section: Results Of Measurements and Their Wavelet Analysismentioning

confidence: 99%

“…Estimation of state using an acceleration sensor is commonly known. The examples are related to research by previous authors [9] or the estimation of the velocity of semi-active dampers in cars [11]. The selection of the fitting method and location of the sensor resulted from the following:…”

Section: Measurement Pointsmentioning

confidence: 99%