A Study of Fatigue Data Editing using the Short-Time Fourier Transform (STFT)

Abdullah, Shahrum; Nizwan, C. K. E.; Nuawi, Mohd. Zaki

doi:10.3844/ajas.2009.565.575

Cited by 14 publications

(9 citation statements)

References 16 publications

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“…This method has the advantage of adapting the Fourier transform to analyze only a small section of the signal at a given time. STFT splits the signal into small sequential or nested data frames, in contrast to the FFT method applied to all data frames [51]. For this reason, the STFT method is more efficient than the FFT method if the amount of data is large [45].…”

Section: Short-time Fourier Transform (Stft)mentioning

confidence: 99%

A Comprehensive Review for Emotion Detection Based on EEG Signals: Challenges, Applications, and Open Issues

Abdulrahman¹,

Baykara²

2021

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Emotion classification based on physiological signals has become a hot topic in the past decade. Many studies have attempted to classify emotions using various techniques, to discover human emotions accurately. This study focused on listing the most recent studies that have classified emotions based on electroencephalogram (EEG) signals. This study also focused on solving the problems and challenges facing researchers in emotion classification and EEG applications used in several fields. The plan of this study is based on a strategy with three aspects within specific rules: The first aspect is the methods; we chose studies that included new methods to extract features. The second aspect is the data sets. We tried to choose a study that classified the same data set. The third aspect is applications; we have listed many applications of the EEG in several areas. We concluded from this study that detecting human emotions using the EEG signals is one of the most reliable and widely used methods of detecting emotions in the past few years. Also, we have noticed that the EEG can detect human emotions, especially in psychiatry, for example, for epileptic patients whose emotions cannot be extracted using traditional methods such as facial expressions and tone of voice.

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Section: Short-time Fourier Transform (Stft)mentioning

confidence: 99%

A Comprehensive Review for Emotion Detection Based on EEG Signals: Challenges, Applications, and Open Issues

Abdulrahman¹,

Baykara²

2021

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“…STFT uses single resolution to divide the data into uniform time-domain segments, which is more concise and efficient for the selection and deletion of small loads. 20…”

Section: Stft and Road Load Spectrum Editingmentioning

confidence: 99%

“…STFT uses single resolution to divide the data into uniform time-domain segments, which is more concise and efficient for the selection and deletion of small loads. 20 This paper proposes the concept of applying superposed power spectral density (SPSD) to identify fatigue damage events contained in the stress-time history. SPSD is obtained by accumulating the power levels of points in the same window.…”

Section: Stftmentioning

confidence: 99%

Research and analysis of the wheeled vehicle load spectrum editing method based on short-time Fourier transform

Liu

Peng

Yang

2019

Proceedings of the Institution of Mechanical Engineers, Part D:

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The measured uniaxial-head load spectrum in the road simulation test has a large number of useless small loads. When applying the measured load spectrum directly, it will take a lot of time. This paper designs a comprehensive road spectrum measurement system to collect data and proposes a method for editing the uniaxial-head acceleration load spectrum using short-time Fourier transform to speed up the reliability test process and reduce time costs. In this method, the time domain and frequency domain information of the signal is obtained by short-time Fourier transform. The concept of accumulated power spectral density is proposed to identify the reduced load data, and the relative fatigue damage is used as the pass criterion. The length of the edited spectrum is only 66% of the original spectrum through the above-mentioned editing method and retains the relative damage amount of 91%. Finally, through the analysis of time domain, frequency domain, and fatigue statistical parameters, it demonstrates that the short-time Fourier transform–based acceleration load spectrum edition method could achieve a similar fatigue damage to the original spectrum in a shorter time.

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“…Abdullah et al 21 presented the development of the Short-Time Fourier Transform (STFT) based FDE technique. This technique was performed by removing low amplitude cycles contained in the original signal to produce a shortened signal.…”

Section: Introductionmentioning

confidence: 99%

Load spectrum compilation for vehicle road simulation test by applying a new time domain threshold editing method

Zhao

et al. 2022

Proceedings of the Institution of Mechanical Engineers, Part D:

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Vehicle road simulation test can simulate random service load spectrum fairly well in laboratory, and is currently a preferable way to fast verify vehicle fatigue properties. Applying a reasonable load spectrum editing technique is a crucial way to accelerate the test and reduce testing time and costs. The present study deals with the generation of test load spectrum for vehicle road simulation test by applying a load spectrum two-dimension time-domain-threshold editing method (STTE) to delete useless load-time segments with negligible fatigue damage to vehicle components. Additionally, a method of load spectrum connection by applying window function was proposed to smoothly connect retained load-time segments when the useless segments were deleted. Taking a vehicle four-post bench test as an example, the process of load spectra generation was discussed in detail. The generated accelerated spectra were reduced to 33% in length relative to the original spectra. The accelerated spectra showed good consistency with the original spectra in terms of amplitude and frequency characteristics. Finally, the accelerated spectra were applied as target spectra to conduct four-post bench test, and good load spectra simulation effect was realized. Therefore, the accelerated spectra can be served as a substitute of the original spectra to conduct the test. To conclude, the proposed load spectra generation methods are suggested as an alternative technique in automotive fatigue data editing.

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A Study of Fatigue Data Editing using the Short-Time Fourier Transform (STFT)

Cited by 14 publications

References 16 publications

A Comprehensive Review for Emotion Detection Based on EEG Signals: Challenges, Applications, and Open Issues

A Comprehensive Review for Emotion Detection Based on EEG Signals: Challenges, Applications, and Open Issues

Research and analysis of the wheeled vehicle load spectrum editing method based on short-time Fourier transform

Load spectrum compilation for vehicle road simulation test by applying a new time domain threshold editing method

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