DIAGNOSTICS WITH A MULTI-CHANNEL MEASURING SYSTEM WITH A FLEXIBLE STRUCTURE OF BOSCH INJECTORS

2021 ◽  
Vol 1 (142) ◽  
pp. 55-64
Author(s):  
◽  
Viktor E. Tarasenko ◽  
Oleg C. Rolich ◽  
Anatoliy V. Dunayev ◽  
Keyword(s):  
Spectral Analysis ◽  
Educational Institution ◽  
Injection Pressure ◽  
Measuring System ◽  
Research Purpose ◽  
Flexible Structure ◽  
Multichannel System ◽  
Vibration Sensors ◽  
The Fourier Transform ◽  
Wavelet Transformations

At the CR-Jet 4E stand, the vibroacoustic signals of BOSCH injectors were studied using a multichannel system with a flexible structure in the BGATU Educational Institution. They were processed in the Mathcad system with spectral analysis and wavelet transformations in MATLAB programs. (Research purpose) The research purpose is in analyzing the vibration characteristics of BOSCH injectors, identifying possible malfunctions and predict their service life. (Materials and methods) The article presents testing results of a new and working nozzle at an injection pressure of 158, 200 and 1000 bar. In five tests it were used the MPU6050 vibration sensors, the INMP621 microphone, and the temperature sensor. The vibration signals were displayed along the xyz axes according to the amplitude-frequency response with the Fourier transform. (Results and discussion) The article presents graphs of wavelet transformations and amplitude-frequency characteristics from five binary files of accelerometer signals and sound files of injectors. The article presents the accelerometer signals on the y-axis at the top of the graphs, the spectrum of their constancy in the middle, and the scalogram at the bottom. For worn-out injectors, the spectrum of constancy is less expressed, the main signal peaks are in the frequencies of 150 and 300 hertz, they are less than in the new nozzle, and the amplitudes are higher up to 800 units. For the new nozzle, the uniform peaks are less than 200 units. The acoustic amplitude of the worn–out nozzle is 150 units, and the new one at frequencies up to 250 hertz is up to 120 units. (Conclusion) Studies of BOSCH injectors with signal processing in the Mathcad system, followed by spectral analysis and wavelet transformations using the MATLAB software package, have shown that the worn-out injectors are characterized by a less expressed spectrum of oscillation constancy. The research goals have not been achieved, but they deepen the traditional diagnosis.

DIAGNOSTICS WITH A MULTI-CHANNEL MEASURING SYSTEM WITH A FLEXIBLE STRUCTURE OF BOSCH INJECTORS

2021 ◽  
Vol 1 (142) ◽  
pp. 55-64
Author(s):  
Aleksandr Zheshko ◽  
◽  
Viktor Tarasenko ◽  
Oleg Rolich ◽  
Anatoliy Dunayev ◽  
...  
Keyword(s):  
Spectral Analysis ◽  
Educational Institution ◽  
Injection Pressure ◽  
Measuring System ◽  
Research Purpose ◽  
Flexible Structure ◽  
Multichannel System ◽  
Vibration Sensors ◽  
The Fourier Transform ◽  
Wavelet Transformations

At the CR-Jet 4E stand, the vibroacoustic signals of BOSCH injectors were studied using a multichannel system with a flexible structure in the BGATU Educational Institution. They were processed in the Mathcad system with spectral analysis and wavelet transformations in MATLAB programs. (Research purpose) The research purpose is in analyzing the vibration characteristics of BOSCH injectors, identifying possible malfunctions and predict their service life. (Materials and methods) The article presents testing results of a new and working nozzle at an injection pressure of 158, 200 and 1000 bar. In five tests it were used the MPU6050 vibration sensors, the INMP621 microphone, and the temperature sensor. The vibration signals were displayed along the xyz axes according to the amplitude-frequency response with the Fourier transform. (Results and discussion) The article presents graphs of wavelet transformations and amplitude-frequency characteristics from five binary files of accelerometer signals and sound files of injectors. The article presents the accelerometer signals on the y-axis at the top of the graphs, the spectrum of their constancy in the middle, and the scalogram at the bottom. For worn-out injectors, the spectrum of constancy is less expressed, the main signal peaks are in the frequencies of 150 and 300 hertz, they are less than in the new nozzle, and the amplitudes are higher up to 800 units. For the new nozzle, the uniform peaks are less than 200 units. The acoustic amplitude of the worn-out nozzle is 150 units, and the new one at frequencies up to 250 hertz is up to 120 units. (Conclusion) Studies of BOSCH injectors with signal processing in the Mathcad system, followed by spectral analysis and wavelet transformations using the MATLAB software package, have shown that the worn-out injectors are characterized by a less expressed spectrum of oscillation constancy. The research goals have not been achieved, but they deepen the traditional diagnosis.

scholarly journals Spectral Analysis of Traffic Functions in Urban Areas

2015 ◽  
Vol 27 (6) ◽  
pp. 477-484 ◽  
Author(s):  
Florin Nemtanu ◽  
Ilona Madalina Costea ◽  
Catalin Dumitrescu
Keyword(s):  
Spectral Analysis ◽  
Fourier Transform ◽  
Fourier Analysis ◽  
Traffic Flow ◽  
Traffic Control ◽  
Urban Areas ◽  
Urban Traffic ◽  
The Fourier Transform ◽  
The City ◽  
Different Time Scales

The paper is focused on the Fourier transform application in urban traffic analysis and the use of said transform in traffic decomposition. The traffic function is defined as traffic flow generated by different categories of traffic participants. A Fourier analysis was elaborated in terms of identifying the main traffic function components, called traffic sub-functions. This paper presents the results of the method being applied in a real case situation, that is, an intersection in the city of Bucharest where the effect of a bus line was analysed. The analysis was done using different time scales, while three different traffic functions were defined to demonstrate the theoretical effect of the proposed method of analysis. An extension of the method is proposed to be applied in urban areas, especially in the areas covered by predictive traffic control.

The Fourier transform and spectral analysis

1999 ◽  
pp. 240-277
Author(s):  
Bernard Mulgrew ◽  
Peter Grant ◽  
John Thompson
Keyword(s):  
Spectral Analysis ◽  
Fourier Transform ◽  
The Fourier Transform

scholarly journals Uncertainty analysis of measuring system for instantaneous power research

2012 ◽  
Vol 19 (3) ◽  
pp. 573-582 ◽  
Author(s):  
Ariel Dzwonkowski ◽  
Leon Swędrowski
Keyword(s):  
Spectral Analysis ◽  
Induction Motor ◽  
Measurement System ◽  
Electrical Power ◽  
Induction Machine ◽  
Uncertainty Estimation ◽  
Measuring System ◽  
Metrological Analysis ◽  
Instantaneous Power ◽  
Measurement And Analysis

Abstract The electrical power drawn by an induction motor is distorted in case of appearance of a certain type of failures. Under spectral analysis of the instantaneous power one obtains the components which are connected with definite types of damage. An analysis of the amplitudes and frequencies of the components allows to recognize the type of fault. The paper presents a metrological analysis of the measurement system used for diagnosis of induction motor bearings, based on the analysis of the instantaneous power. This system was implemented as a set of devices with dedicated software installed on a PC. A number of measurements for uncertainty estimation was carried out. The results of the measurements are presented in the paper. The results of the aforementioned analysis helped to determine the measurement uncertainty which can be expected during bearing diagnostic measurements, by the method relying on measurement and analysis of the instantaneous power of an induction machine.

scholarly journals A Methodology for the Characterization of Periodicities in Nonsteady Time Series: Application to Tropospheric Ozone Recharging Cycles in the Western Mediterranean Basin

2012 ◽  
Vol 29 (11) ◽  
pp. 1644-1656 ◽  
Author(s):  
Jose Luis Palau ◽  
Francisco Rovira
Keyword(s):  
Time Series ◽  
Spectral Analysis ◽  
Tropospheric Ozone ◽  
High Frequency ◽  
Monitoring Network ◽  
Western Mediterranean ◽  
Western Mediterranean Basin ◽  
Student’S T ◽  
The Fourier Transform ◽  
Synthetic Time Series

Abstract Environmental measurements often show unsteady variability and background red noise (stochastic component) superimposed on persistent trivial daily, seasonal, and annual variability. In addition to this, environmental time series often present gaps due to a myriad of possible factors, such as malfunction of the sensors, connection loss, etc. As a result, interpreting and identifying periodicities in this type of time series by means of spectral analysis tools, like the Fourier transform, are difficult and lack precision. To overcome these difficulties, a methodology is proposed in the first part of this paper that integrates statistical tools (iterative Student’s t test), parametric reconstruction, and spectral analysis (Lomb periodogram and wavelets). In the second part of the paper, this methodology is tested (i) in the high-frequency part of the spectrum of two (well known) synthetic time series and (ii) to identify nontrivial (e.g., daily cycles) high-frequency periodicities (linked to some mesometeorological processes) in three tropospheric ozone time series recorded by the Valencia regional air quality monitoring network (on the Mediterranean side of Spain) during a 14-yr period. This methodology can determine statistically significant, seasonally dependent recurrences in the high-frequency variability (<15 days) observed in ozone time series measured in a Mediterranean region of Spain under high noise-to-signal ratios.

scholarly journals ESTIMASI KETEBALAN SEDIMEN DENGAN ANALISIS POWER SPECTRAL PADA DATA ANOMALI GAYABERAT

GEOMATIKA ◽  
2018 ◽  
Vol 23 (2) ◽  
pp. 65 ◽  
Author(s):  
Mila Apriani ◽  
Admiral Musa Julius ◽  
Mahmud Yusuf ◽  
Damianus Tri Heryanto ◽  
Agus Marsono
Keyword(s):  
Spectral Analysis ◽  
Fourier Transform ◽  
Gravity Anomaly ◽  
Spectral Method ◽  
Gravity Data ◽  
Sediment Thickness ◽  
Transform Method ◽  
Fourier Transform Method ◽  
Power Spectral ◽  
The Fourier Transform

<p align="center"><strong>ABSTRAK</strong></p><p> </p><p>Penelitian dengan analisis <em>power spectral</em> data anomali gayaberat telah banyak dilakukan untuk estimasi ketebalan sedimen. Dalam studi ini penulis melakukan analisis spektral data anomali gayaberat wilayah DKI Jakarta untuk mengetahui kedalaman sumber anomali yang bersesuaian dengan ketebalan sedimen. Data yang digunakan berupa data gayaberat dari BMKG tahun 2014 dengan 197 lokasi titik pengukuran yang tersebar di koordinat 6,08º-6,36º LU dan 106,68º-106,97º BT. Studi ini menggunakan metode <em>power spectral</em>  dengan mentransformasikan data dari domain jarak ke dalam domain bilangan gelombang memanfaatkan transformasi <em>Fourier</em>. Hasil penelitian dengan menggunakan metode transformasi <em>Fourier  </em>menunjukkan bahwa ketebalan sedimen di Jakarta dari arah selatan ke utara semakin besar, di sekitar Babakan ketebalan diperkirakan 92 meter, sekitar Tongkol, Jakarta Utara diperkirakan 331 meter.</p><p><strong> </strong></p><p><strong>Kata kunci</strong>: <em>power spectral</em>, anomali gayaberat, ketebalan sedimen</p><p align="center"><strong><em> </em></strong></p><p align="center"><strong><em>ABSTRACT</em></strong></p><p><em> </em></p><p><em>Studies of spectral analysis of gravity anomaly data have been carried out to estimate the thickness of sediment. In this study the author did spectral analysis of gravity anomaly data of DKI Jakarta area to know the depth of anomaly source which corresponds to the thickness of sediment. The data used in the form of gravity data from BMKG 2014 with 197 locations of measurement points spread in coordinates 6.08º - 6.36º N and 106.68º - 106.97º E. This study used the power spectral method by transforming the data from the distance domain into the wavenumber domain utilizing the Fourier transform. The result of the research using Fourier transform method shows that the thickness of sediment in Jakarta from south to north is getting bigger, in Babakan the thickness of the sediment is around 92 meter, in Tongkol, North Jakarta is around 331 meter.</em></p><p><strong><em> </em></strong></p><p><strong><em>Keywords</em></strong><em>: </em><em>power spectral, gravity anomaly, sediment thickness</em><em></em></p>

scholarly journals How can the Fourier Transform be Used in Radio Astronomy to Perform Spectral Analysis of Pulsars

2021 ◽  
Vol 10 (2) ◽  
Author(s):  
Pranesh Kumar ◽  
Arthur Western
Keyword(s):  
Spectral Analysis ◽  
Fourier Transform ◽  
Discrete Fourier Transform ◽  
Low Frequency ◽  
Radio Frequency Interference ◽  
Radio Waves ◽  
Folding Algorithm ◽  
Radio Signals ◽  
Multiple Characteristics ◽  
The Fourier Transform

The analysis of pulsars is a complicated procedure due to the influence of background radio waves. Special radio telescopes designed to detect pulsar signals have to employ many techniques to reconstruct interstellar signals and determine if they originated from a pulsating radio source. The Discrete Fourier Transform on its own has allowed astronomers to perform basic spectral analysis of potential pulsar signals. However, Radio Frequency Interference (RFI) makes the process of detecting and analyzing pulsars extremely difficult. This has forced astronomers to be creative in identifying and determining the specific characteristics of these unique rotating neutron stars. Astrophysicists have utilized algorithms such as the Fast Fourier Transform (FFT) to predict the spin period and harmonic frequencies of pulsars. However, FFT-based searches cannot be utilized alone because low-frequency pulsar signals go undetected in the presence of background radio noise. Astrophysicists must stack up pulses using the Fast Folding Algorithm (FFA) and utilize the coherent dedispersion technique to improve FFT sensitivity. The following research paper will discuss how the Discrete Fourier Transform is a useful technique for detecting radio signals and determining the pulsar frequency. It will also discuss how dedispersion and the pulsar frequency are critical for predicting multiple characteristics of pulsars and correcting the influence of the Interstellar Medium (ISM).

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