A CWT-based methodology for piston slap experimental characterization

Buzzoni, Marco; Mucchi, Emiliano; Dalpiaz, Giorgio

doi:10.1016/j.ymssp.2016.10.005

Cited by 18 publications

(8 citation statements)

References 27 publications

(40 reference statements)

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“…These states are disengaged, clutch slipping and engaged. In automobile, a gearbox is required to change the speed and torque of the vehicle as analysed by Buzzoni [5] and Fang [6]. If we change a gear, when the engine is engaged with gearbox or when the gears are in running position then it can cause of wear and tear of gears.…”

Section: Figure 1 Clutch and Flywheel [2]mentioning

confidence: 99%

Design and Analysis of an Automotive Single Plate Clutch

Narayan¹,

Grujić²,

Stojanović³

et al. 2018

MVM

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This paper presents the stresses and deformations of the assembly of the automotive single plate clutch depending on the applied materials. Structural analysis of the clutch was performed by using the finite element method for a repressive vehicle example -Toyota KUN 25. First, the input data for the numerical analysis was calculated. Numerical analysis was performed in the ANSYS software package. As a result, the values of stresses and deformations that occur on the clutch during the vehicle exploitation are obtained.

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Section: Figure 1 Clutch and Flywheel [2]mentioning

confidence: 99%

Design and Analysis of an Automotive Single Plate Clutch

Narayan¹,

Grujić²,

Stojanović³

et al. 2018

MVM

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“…Yao et al 17 combined the variational mode decomposition, robust independent component analysis and CWT to treat the engine vibration signal and obtained the piston slap related vibration signal with less interference noises. Buzzoni et al 18 divided the block vibration signal into two parts with CWT method and found that the second part had close correlation with piston slap.…”

Section: Introductionmentioning

confidence: 99%

Study on the influence of various factors on block vibration

Zhang

Yin

et al. 2023

International Journal of Engine Research

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The influence of engine speed, torque, oil temperature, and piston liner clearance on the block vibration was studied with experimental test and wavelet packet decomposition method (WPD). The wavelet packet function of db10 and decomposition level of four was confirmed based on the Shannon entropy. The frequency analysis of the block vibration measured at motor-driven condition showed that the spectrum energy was mainly concentrated in the range of 4–5, 10–15, and 20–25 kHz. The energy of each frequency band obtained from WPD was contrasted at different engine speed, torque, oil temperature, and piston-liner clearance conditions. On this basis, the interaction between different factors was further investigated. The sensitive frequency band of block vibration was confirmed for different factors.

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“…Consequently, some advanced feature extraction techniques for machinery systems are expected to be developed. Traditional artificial features are mainly extracted by statistical methods performed in various space domains [14,15,16,17,18]. Time-domain methods are only applicable to stationary and linear signals.…”

Section: Introductionmentioning

confidence: 99%

A New Fault Diagnosis Method for a Diesel Engine Based on an Optimized Vibration Mel Frequency under Multiple Operation Conditions

Zhao

Zhang

Jiang

et al. 2019

Sensors

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The diesel engine has been a significant component of large-scale mechanical systems for the intelligent manufacturing industry. Because of its complex structure and poor working environment, it has trouble effectively acquiring the representative fault features. Further, fault diagnosis of the diesel engine faces great challenges. This paper presents a new fault diagnosis method for the detection of diesel engine faults under multiple operation conditions instead of conventional methods confined to a single condition. First, an adaptive correlation threshold process is designed as a preprocessing unit to enhance data quality by weakening non-impact region characteristics. Next, a feature extraction method for sound signals based on the Mel frequency cepstrum (MFC) is improved and introduced into the machinery fault diagnosis. Then, the combination of the improved feature and vibrational mode decomposition (VMD) is proposed to incorporate VMD into an effective adaptive decomposition of non-stationary signals to combine it with an excellent feature representation of the vibration signal. Finally, the vector quantization algorithm is adopted to reduce the feature dimensions and generate codebook model bases, which trains the K-Nearest Neighbor classifiers. Five comparative methods were carried out, and the experimental results show that the proposed method offers a good effect of the common valve clearance fault of diesel engines under different conditions.

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A CWT-based methodology for piston slap experimental characterization

Cited by 18 publications

References 27 publications

Design and Analysis of an Automotive Single Plate Clutch

Design and Analysis of an Automotive Single Plate Clutch

Study on the influence of various factors on block vibration

A New Fault Diagnosis Method for a Diesel Engine Based on an Optimized Vibration Mel Frequency under Multiple Operation Conditions

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