Characteristic Analysis and Optimization Strategy of Transformer Vibration Signal

Jiang, Xiangwei; Shang, Xingsen; Jiang, Youhua

doi:10.1109/powercon53406.2022.9929718

Cited by 2 publications

(3 citation statements)

References 2 publications

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“…These sensors measure the acceleration, velocity, or displacement of the vibrating component and convert the mechanical vibrations into electrical signals [23][24][25]. Once the vibration signals are obtained, they are analyzed using various techniques and tools, including time-domain analysis, frequency-domain analysis, statistical analysis, wavelet analysis, and advanced signal processing algorithms [26][27][28]. The goal of vibration analysis is to extract meaningful information from the vibration signals to understand the behavior, diagnose any faults or anomalies, and make informed decisions regarding maintenance and repair [29][30][31].…”

Section: Introductionmentioning

confidence: 99%

Application of vibration analysis for medical diagnosis

2024

PMD

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The ability to interpret vibration signals in the biomedical field offers a promising path toward continuous improvement of medical devices. By examining the revolutions per minute profile, analysts can identify any deviations or anomalies in the vibration patterns at different speeds. This information can help identify potential faults or imbalances within the rotating machinery. With a comprehensive understanding of the revolutions per minute profile, analysts can make informed decisions regarding maintenance and repairs. Besides, the analysis of the order of vibration signals represents an essential pillar of biomedical engineering, bringing an innovative and in-depth perspective to the development of medical devices, and contributing to the continued advancement of medical technology and healthcare. Integrating vibration analysis into preventive maintenance practices can help ensure the reliability of medical equipment, reduce potential risks to patients, and contribute to the advancement of healthcare quality.

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Section: Introductionmentioning

confidence: 99%

Application of vibration analysis for medical diagnosis

2024

PMD

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Section: -Introductionmentioning

confidence: 99%

“…Parameters such as amplitude, frequency, and phase can be analyzed to assess the vibrational behavior. Time domain analysis techniques include time waveform analysis, root mean square (RMS) analysis, and crest factor analysis [46][47][48][49][50][51][52][53][54][55][56][57][58].Frequency domain analysis involves analyzing the vibrational data in the frequency domain. This analysis helps identify the frequency components and dominant frequencies present in the vibration signal.…”

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confidence: 99%

Using average order spectra to determine point ordering

Felahi

2023

Preprint

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This application used order analysis to identify the main and tail rotors of a helicopter as potential sources of high-amplitude vibration in the cabin. First, rpmfreqmap and rpmordermap were used to visualize orders. The RPM-order map provided order separation throughout the RPM range without the smearing artifacts present in the RPM-frequency map. rpmordermap was the best choice to visualize vibration components at lower RPM during the engine run-up and coast-down.

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Characteristic Analysis and Optimization Strategy of Transformer Vibration Signal

Cited by 2 publications

References 2 publications

Application of vibration analysis for medical diagnosis

Application of vibration analysis for medical diagnosis

Using average order spectra to determine point ordering

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