Wavelet transform and least square support vector machine for mechanical fault detection of an alternator using vibration signal

Abad, Mohammad Reza Asadi Asad; Moosavian, Ashkan; Khazaee, Meghdad

doi:10.1177/0263092316628258

Cited by 16 publications

(17 citation statements)

References 28 publications

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“…The null frequency point is indistinguishable from the signal to be detected. After three-level Daubechies wavelet decomposition soft threshold denoising, [25][26][27][28] the SNR is obviously improved. The first null frequency is apparent and the identification of the null frequency was achieved in Figure 6(c) and (d).…”

Section: Leaky Source Localizationmentioning

confidence: 99%

Distributed fiber optic vibration sensor based on polarization fading model for gas pipeline leakage testing experiment

Wang

Han

Fan

et al. 2017

Journal of Low Frequency Noise, Vibration and Active Control

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To design a distributed fiber optic vibration sensor for urban natural gas pipeline leak detection, the light polarization fading transmission model based on Jones matrix is built in this mixed Sagnac/Mach-Zehnder interferometer configuration. The interference light intensity of pipeline with leakage and without leakage cases is compared through spectrum analyzer. When fiber length ranges from 1.5 to 9.5 km, the light power intensity (central wavelength 1550 nm) reduces to À56 dB. In experiment, the leaky spectrum null frequencies are captured and the average relative error of leakage point location varies from 2.3 to 5.3%. When the sensing length is expanded to 9.5 km, the vibration sensor system sensitivity is 0.57 Hz/m.

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Section: Leaky Source Localizationmentioning

confidence: 99%

Distributed fiber optic vibration sensor based on polarization fading model for gas pipeline leakage testing experiment

Wang

Han

Fan

et al. 2017

Journal of Low Frequency Noise, Vibration and Active Control

View full text Add to dashboard Cite

show abstract

“…6,7 In this way, it would be possible to observe both the minimum and maximum vibrations. Based on these considerations, the measurement grid was created taking into account the number of available accelerometers.…”

Section: Comparison Of the Alternative Designmentioning

confidence: 99%

“…Meanwhile, with the improvement of living standards, comfort expectations have increased and the design of washing machines is currently focusing on reducing vibration and noise issues. [4][5][6][7] The goal of this study is the identification of the key parameters in the design of a water-stop tray with a reduced mobility. A preliminary analysis on the current water-stop tray was carried out, and then four different modified trays were evaluated.…”

Section: Introductionmentioning

confidence: 99%

Additive manufacturing for minimizing vibration damages in the water-stop tray of washing machines

Berardi

Iannace

2017

Journal of Low Frequency Noise, Vibration and Active Control

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The present work aims to study the water-stop tray, a front-loading component of a washing machine. As most of the components of washing machines, the water-stop tray suffers significant vibrations especially when the spin speed increases. A vibrational analysis of the current typical design was realized. Then, four modified trays were investigated and a hammer impulse response was recorded using 13 accelerometers in order to measure the frequency response of each tray. The results allow to identify the key parameters that affect the vibrational response of a water-stop tray. Finally, the comparative analysis among the different designs allows to select the tray with the lowest vibration amplitude.

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“…Many recent studies have focused on the diagnosis of mechanical systems, such as bearings, [3][4][5] AC generators, 6 gearboxes. 7,8 Several different methods have been used for the monitoring and prediction of tool life and wear.…”

Section: Introductionmentioning

confidence: 99%

Intelligent real-time monitoring of Computer Numerical Control tool wear based on a fractional-order chaotic self-synchronization system

Chen

2018

Journal of Low Frequency Noise, Vibration and Active Control

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Tool wear and damage are unavoidable in machines which operate for long periods. The main objective of this study was the prediction and understanding of tool wear ahead of time. To achieve this a real-time monitoring system was needed which incidentally also improves product yield and efficiency. Traditionally, tool wear and working life have been estimated by past experience. To monitor the state of the tool, we used a method employing fractional-order chaotic selfsynchronization system matched with extension theory to analyze, extract, and measure tool vibration signals. The fractional-order Chen-Lee chaotic system was used to detect differences in micro vibrations, resulting from different degrees of tool wear, and these were introduced into the master and slave systems. The extreme changes produced by micro differences in the chaotic system, and matter element module design based on the extension theory, were used to accurately determine tool status. Chaos theory, wavelet packet analysis, and Fast Fourier transform were then used to compare the results. This method can reduce the number of sensors and the time required for real-time monitoring of expected life compared to previous determination methods where temperature and current diagnostics must be included.

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Wavelet transform and least square support vector machine for mechanical fault detection of an alternator using vibration signal

Cited by 16 publications

References 28 publications

Distributed fiber optic vibration sensor based on polarization fading model for gas pipeline leakage testing experiment

Distributed fiber optic vibration sensor based on polarization fading model for gas pipeline leakage testing experiment

Additive manufacturing for minimizing vibration damages in the water-stop tray of washing machines

Intelligent real-time monitoring of Computer Numerical Control tool wear based on a fractional-order chaotic self-synchronization system

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