Method of vibroacoustic signal spectrum optimization in diagnostics of devices

Jarmołowicz, Marcin; Kornatowski, E.

doi:10.1109/iwssip.2017.7965612

Cited by 10 publications

(3 citation statements)

References 4 publications

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“…4) Spectral Resampling With Spectral Resolution Adjustment: It is a high quality algorithm that [5] can be defined in the following steps:…”

Section: Algorithms Of Resamplingmentioning

confidence: 99%

International Journal of Electronics and Telecommunications

Jarmołowicz

Kornatowski

2018

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Analysis of harmonic parameters and detection of foreign frequencies in diagnostic signals, which are most often interpreted as fault results, may be problematic because of the spectral leakage effect. When the signal contains only the fundamental frequency and harmonics, it is possible to adjust its spectral resolution to eliminate any distortions for regular frequencies. The paper discusses the influence of resampling distortions on the quality of spectral resolution optimization in diagnostic signals, recorded digitally for objects in a steady state. The method effectiveness is measured with the use of a synthetic signal generated from an analog prototype whose parameters are known. In order to achieve low values of harmonic amplitude errors in the diagnostic signal, a high quality resampling algorithm should be used, therefore the analysis of distortions generated by four popular reasampling methods is performed. Errors are measured for test signals containing different spectral structures. Finally, the results of the test of the analyzed method in practical applications are presented.

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“…4) Spectral Resampling With Spectral Resolution Adjustment: It is a high quality algorithm that [5] can be defined in the following steps:…”

Section: Algorithms Of Resamplingmentioning

confidence: 99%

International Journal of Electronics and Telecommunications

Jarmołowicz

Kornatowski

2018

Self Cite

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“…• operation parameters diagnostics (such as flow rate, energy consumption, efficiency, pressure, etc.) [1]; • overall vibration level control [2]; • spectral diagnostics (analysis of vibration signal) [3]; • shock pulse method diagnostics [4,5]; • lubrication condition analysis [6,7]; • acoustic emission analysis [8,9]; • infrared thermography [10]; • ultrasound propagation analysis [11]; • acoustic noise signal analysis [12]; • wavelet analysis [13];…”

Section: Introductionmentioning

confidence: 99%

Locating Sources of Vibration with Harmonics and Pulse Signals in Industrial Machines

Valeev¹,

Kharrasov²

2022

Acoustics

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This paper is devoted to a new approach to condition monitoring. The main feature is an application of strain gauge analysis for geometrical locating of vibrating defects. Information about the exact geometrical location of a defect, intensity of excitation and its frequency provides accurate diagnostics. The research contains theoretical and experimental parts. Three types of defects are analyzed: defects with harmonic parameters, defects with non-harmonic periodical parameters (pulse periodic signal) and defects with non-periodical parameters (pulse non-periodical signal). For the first type, analysis of micro movements in the equipment is used. The others use triangulation; for detecting time lag of signal approaching in each sensor, an analysis of phase spectrum is used. This method can find sources of vibration/defects with pulse-like signals. An electronic board and computer program for implementation of the proposed method are developed. The electronics measure strain gauge data in real time and transmit it to a computer program. Such an approach gives new information for diagnostics and provides new opportunities for effective defect detection and condition monitoring of various machines and equipment.

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“…The opportunity to assess the technical condition of machines through the observation of vibroacoustic processes was first noticed in aviation technology [3] and later in power engineering. Thanks to the electronics that created the possibility of measuring and analyzing vibroacoustic signals, we now have the ability to separate individual signal components and analyze them in terms of the technical condition of a given machine [4][5][6]. From the vibration signal, we can also obtain information on the advancement of wear of individual elements of the tested object (by analyzing the signal components related to a specific defect) [7][8][9].…”

Section: Introductionmentioning

confidence: 99%

Investigation of Distribution Transformers Vibrations in Terms of Core and Winding Condition Assessment

Gielniak

Czerniak

2021

Energies

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This work refers to the criterion values used to assess the state of the active part of the transformer based on the analysis of the effective value of the total vibration acceleration and the frequency spectrum. It was proved in the work that the criteria values should be differentiated for transformers of different rated power. Transformers with lower rated power are characterized by lower RMS values of vibration acceleration than units with higher rated power, which cannot remain without impact on the criteria values. Trend analysis of the total aRMS values may reveal increasing defects before the currently applicable criteria values are exceeded. In addition, the influence of the position of the sensor on the frequency spectrum of the obtained signals was analyzed. It was proved that the sensors should be mounted in the middle of the transformer tank, between its lower part and the cover. The dependence of RMS value of vibration acceleration on no-load losses was also determined for transformers of different types but the same rated power. This relationship will not have a large share in the total vibrations of the transformer, due to slight changes in the value of aRMS occurring for all analyzed units.

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Method of vibroacoustic signal spectrum optimization in diagnostics of devices

Cited by 10 publications

References 4 publications

International Journal of Electronics and Telecommunications

International Journal of Electronics and Telecommunications

Locating Sources of Vibration with Harmonics and Pulse Signals in Industrial Machines

Investigation of Distribution Transformers Vibrations in Terms of Core and Winding Condition Assessment

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