Results 21 to 30 of about 245 (131)
Noise Source Identification Method for a Carpet Tufting Machine Based on CEEMDAN-AIC
Shock and Vibration, 2021 In recent years, the noise reduction research of the carpet tufting machine has been developing slowly. The research gaps of the existing work mainly focus on the noise source identification for the carpet tufting machine.
Wang Haohui, Sheng Xiaowei, Xu Yang
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Rolling bearing fault diagnosis based on MEEMD sample entropy and SSA-SVM
Journal of Physics: Conference Series, 2021 Abstract The penalty parameter (c) and kernel parameter (g) contained in Support Vector Machine (SVM) cannot be adaptively selected according to actual samples, which results in low classification accuracy and slow convergence speed. A novel sparrow search algorithm was used to optimize the parameters of SVM classifier.
Xuguang Li, Liyou Fu
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Fault Detection in Three-phase Induction Motor based on Data Acquisition and ANN based Data Processing [PDF]
, 2022 The main objective of this paper is to investigate how a failure in the functioning of a normal electrical system represented by a three-phase asynchronous motor will modify the voltages and currents present in the system and if it is possible to design ...
Ghincu, Remus Vladimir +4 more
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IEEE Access, 2021 To improve the reliability of the Global Positioning System (GPS) and Gravity Recovery and Climate Experiment (GRACE) feature extraction, this paper uses a correlation coefficient combined with the traditional variational mode decomposition (VMD ...
Yifan Shen +4 more
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Wind power prediction based on WT-BiGRU-attention-TCN model [PDF]
, 2023 Accurate wind power prediction is crucial for the safe and stable operation of the power grid. However, wind power generation has large random volatility and intermittency, which increases the difficulty of prediction.
Chaozhi Yang, Dianwei Chi
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Marine SINS Self-Alignment Method in Complex Interference Environment Based on MEEMD Algorithm
Electronics, 2022 It is difficult to rapidly and accurately achieve alignment under complicated interferential environmental conditions with a marine strapdown inertial navigation system (SINS) subject to angular swaying interference and linear motion interference. To solve this problem, an SINS self-alignment algorithm in a complex interference environment is presented
Jinlong Xing, Gongliu Yang, Tijing Cai
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IEEE Access, 2021 Remaining useful life (RUL) estimation has received extensive attention in many fields, which provides improved decision-making for condition-based maintenance (CBM) and enhances the stability of engineered systems. However, the effective construction of
Yalan Jiang +4 more
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Causality in Control Systems Based on Data-Driven Oscillation Identification
Applied Sciences, 2022 This paper addresses the subject of causality analysis using simulation data and data collected from a real control system. Simulated data includes Gaussian and Cauchy noise signals.
Michał J. Falkowski +2 more
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The multi-dimensional ensemble empirical mode decomposition (MEEMD)
Journal of Thermal Analysis and Calorimetry, 2017 With a view to map the health status of mosaics, non-destructive testing methods ought to be used for data collection. Among these, the infrared thermography is highly recommended since it is non-contact, non-intrusive, non-invasive and able to convert the invisible thermal energy into a video signal, in which the energy level is usually correlated ...
Yuan Yao +4 more
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Time-frequency analysis of 3D ship-wave fields in martime waterways [PDF]
, 2018 In the last 15 years an increased number of serious damages of protective structures such as groins and revetments have been observed in maritime waterways.
Brühl, Markus, Shet, Rahi A.
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