Results 11 to 20 of about 618 (183)
Rolling Bearing Fault Diagnosis Based on MFDFA-SPS and ELM
Mathematical Problems in Engineering, 2022 Rolling bearings, as important parts on supporting rotating shafts, frequently suffer from fatigue failures. If these rolling bearing failures are not found in time, it will have a huge impact on the whole mechanical system’s operating safety and operating life.
Yunfan Yang, Caiping Xi
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A Novel MFDFA Algorithm and Its Application to Analysis of Harmonic Multifractal Features [PDF]
Electronics, 2019 A power grid harmonic signal is characterized as having both nonlinear and nonstationary features. A novel multifractal detrended fluctuation analysis (MFDFA) algorithm combined with the empirical mode decomposition (EMD) theory and template movement is proposed to overcome some shortcomings in the traditional MFDFA algorithm.
Jiming Li +3 more
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Investigation on Vibration Signal Characteristics in a Centrifugal Pump Using EMD-LS-MFDFA
Processes, 2022 Vibration signals from centrifugal pumps are nonlinear, non-smooth, and possess implied trend terms, which makes it difficult for traditional signal processing methods to accurately extract their fault characteristics and details. With a view to rectifying this, we introduced empirical mode decomposition (EMD) to extract the trend term signals.
Xing Liang +3 more
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Complexity, 2021 Climate dynamics and trends have significant environmental and socioeconomic impacts; however, in the Benin Republic, they are generally studied with diverse statistical methods ignoring the nonstationarity, nonlinearity, and self-similarity ...
Médard Noukpo Agbazo +4 more
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Feature extraction method based on VMD and MFDFA for fault diagnosis of reciprocating compressor valve [PDF]
Journal of Vibroengineering, 2017 Aiming at the nonlinearity, nonstationarity and multi-component coupling characteristics of reciprocating compressor vibration signals, an integrated feature extraction method based on the variational mode decomposition (VMD) and multi-fractal detrended fluctuation analysis (MFDFA) is proposed for a fault diagnosis for a reciprocating compressor valve.
Yan Liu +4 more
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Complexity, 2018 Electromechanical actuators (EMAs) are more and more widely used as actuation devices in flight control system of aircrafts and helicopters. The reliability of EMAs is vital because it will cause serious accidents if the malfunction of EMAs occurs, so it
Hongmei Liu, Jiayao Jing, Jian Ma
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Nonlinear analysis of time series of vibration data from a friction brake: SSA, PCA, and MFDFA
Chaos, solitons & fractals, 2014 25 pages, 9 ...
Vitanov, Nikolay K. +2 more
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MFDFA-Enhanced GAN: A Hardware-Optimized Architecture for Efficient Synthetic Image Generation
IEEE AccessGenerative Adversarial Networks (GANs) have achieved significant success in synthetic image generation; however, training instability, mode collapse, and high computational demand remain persistent challenges, particularly for hardware-constrained ...
Charudatta Gurudas Korde +4 more
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Fault Diagnosis of Gearbox based on Multifractal Detrended Cross- correlation Analysis
Jixie chuandong, 2016 The multifractal detrended fluctuation analysis（ MFDFA） is developed only for processing one- dimension time series. Consequently,when applied to analyze complex vibration data from a defective gearbox,the MFDFA frequently produces poor results due to ...
Lin Jinshan, Dou Chunhong, Zhang Ni
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Fractal and FractionalFor high-intensity focused ultrasound (HIFU) thermal ablation to be safe and effective, real-time, high-precision monitoring of tissue coagulative necrosis is essential.
Hu Dong, Xin Tong, Gang Liu
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