Method for Measuring and Analyzing Transient Powertrain Vibrations of Hybrid Electric Vehicles on an Acoustic Roller Test Bench

Albers, Albert; Schille, Fabian; Behrendt, Matthias

doi:10.4271/2016-01-1835

Cited by 2 publications

(1 citation statement)

References 15 publications

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“…The PWC waveform also occurs in the output of several sensors, which include tachometers. Sensors with PWC waveform are widely used and implemented in applications that involve rotating machinery such as investigating pressure fluctuations in bearings [6], flat plate motions [7], analyzing the powertrain vibrations of vehicles [8], and for the experimental investigations of the dynamic performance of wind turbines [9]. One important example of PWC waveform sensors are laser tachometers which are often used in machining process applications, including monitoring rotation velocity in the presence of spindle speed modulation [10] or vibration-assisted cutting in turning [11], defect detection for friction stir welding [12], measuring the feed error in tapping processes [13], and for stroboscopic sampling of vibrations in milling [14].…”

Section: Introductionmentioning

confidence: 99%

Topological data analysis for true step detection in periodic piecewise constant signals

Khasawneh

Munch

2018

Proc. R. Soc. A.

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This paper introduces a simple yet powerful approach based on topological data analysis for detecting true steps in a periodic, piecewise constant (PWC) signal. The signal is a two-state square wave with randomly varying in-between-pulse spacing, subject to spurious steps at the rising or falling edges which we call digital ringing. We use persistent homology to derive mathematical guarantees for the resulting change detection which enables accurate identification and counting of the true pulses. The approach is tested using both synthetic and experimental data obtained using an engine lathe instrumented with a laser tachometer. The described algorithm enables accurate and automatic calculations of the spindle speed without any choice of parameters. The results are compared with the frequency and sequency methods of the Fourier and Walsh–Hadamard transforms, respectively. Both our approach and the Fourier analysis yield comparable results for pulses with regular spacing and digital ringing while the latter causes large errors using the Walsh–Hadamard method. Further, the described approach significantly outperforms the frequency/sequency analyses when the spacing between the peaks is varied. We discuss generalizing the approach to higher dimensional PWC signals, although using this extension remains an interesting question for future research.

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