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Wyszukujesz frazę "Approximate Entropy" wg kryterium: Temat


Wyświetlanie 1-3 z 3
Tytuł:
Defect recognition of buried pipeline based on approximate entropy and variational mode decomposition
Autorzy:
Ju, Haiyang
Wang, Xinhua
Zhang, Tao
Zhao, Yizhen
Ullah, Zia
Powiązania:
https://bibliotekanauki.pl/articles/221572.pdf
Data publikacji:
2019
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
Buried Pipeline
Defect Recognition
Geomagnetic Anomaly Detection
Variational Mode Decomposition
Approximate Entropy
Opis:
The study aimed to examine the use of Geomagnetic Anomaly Detection (GAD) to locate the buried ferromagnetic pipeline defects without exposing them. However, the accuracy of GAD is limited by the background noise. In the present work, we propose an approximate entropy noise suppression (AENS) method based on Variational Mode Decomposition (VMD) for detection of pipeline defects. The proposed method is capable of reconstructing the magnetic field signals and extracting weak anomaly signals that are submerged in the background noise, which was employed to construct an effective detector of anomalous signals. The internal parameters of VMD were optimized by the Scale–Space algorithm, and their anti-noise performance was compared. The results show that the proposed method can remove the background noise in high-noise background geomagnetic field environments. Experiments were carried out in our laboratory and evaluation results of inspection data were analysed; the feasibility of GAD is validated when used in the application to detection of buried pipeline defects.
Źródło:
Metrology and Measurement Systems; 2019, 26, 4; 739-755
0860-8229
Pojawia się w:
Metrology and Measurement Systems
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Study on transformer fault diagnosis technology of VMD local signal de-noising based on kurtosis - approximate entropy
Autorzy:
Chen, Dingke
Mao, Changbin
Qin, Bin
Powiązania:
https://bibliotekanauki.pl/articles/328591.pdf
Data publikacji:
2020
Wydawca:
Polska Akademia Nauk. Polskie Towarzystwo Diagnostyki Technicznej PAN
Tematy:
transformer
kurtosis
approximate entropy
variational mode decomposition
VMD
transformator
diagnostyka uszkodzeń
kurtoza
entropia
niezawodność
Opis:
With the needs of social development, the scale of power equipment continues to expand. Among them, the transformer, as the core equipment in the power system, plays a key role in the safe and stable operation of the power system. However, in the field where the field strength is too high, partial breakdown of insulating media, that is the partial discharge occurs, which brings certain threats and damage to the safe operation of the power system. Therefore, this article uses the kurtosis-approximate entropy variational mode decomposition (VMD) partial discharge signal denoising method is used to preprocess the UHF partial discharge signal, through the simulation analysis and the result comparison, the feasibility of the method for denoising the partial signal of the transformer is clarified, designed to improve the safety and reliability of transformer operation.
Źródło:
Diagnostyka; 2020, 21, 1; 81-87
1641-6414
2449-5220
Pojawia się w:
Diagnostyka
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Vibration measurement for crack and rub detection in rotors
Autorzy:
Hajnayeb, Ali
Shirazi, Kourosh Heidari
Aghaamiri, Reza
Powiązania:
https://bibliotekanauki.pl/articles/220975.pdf
Data publikacji:
2020
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
rotor vibrations
crack
rub
fault detection
chaos features
largest Lyapunov exponent
approximate entropy
correlation dimension
Opis:
Shaft-stator rub and cracks on rotors, which have devastating effects on the industrial equipment, cause non-linear and in some cases chaotic lateral vibrations. On the other hand, vibrations caused by machinery fault scan be torsional in cases such as rub. Therefore, a combined analysis of lateral and torsional vibrations and extraction of chaotic features from these vibrations is an effective approach for rotor vibration monitoring. In this study, lateral and torsional vibrations of rotors have been examined for detecting cracks and rub. For this purpose, by preparing a laboratory model, the lateral vibrations of a system with crack and rub have been acquired. After that, a practical method for measuring the torsional vibrations of the system is introduced. By designing and installing this measurement system, practical test data were acquired on the laboratory setup. Then, the method of phase space reconstruction was used to examine the effect of faults on the chaotic behaviour of the system. In order to diagnose the faults based on the chaotic behaviour of the system, largest Lyapunov exponent (LLE), approximate entropy (ApEn) and correlation dimension were calculated for a healthy system and also for a system with rub and a crack. Finally, by applying these parameters, the chaotic feature space is introduced in order to diagnose the intentionally created faults. The results show that in this space, the distinction between the various defects in the system can be clearly identified, which enables to use this method in fault diagnosis of rotating machinery.
Źródło:
Metrology and Measurement Systems; 2020, 27, 1; 65-80
0860-8229
Pojawia się w:
Metrology and Measurement Systems
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-3 z 3

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