brush wear detection by continuous wavelet
Brush wear detection by continuous wavelet transform
2007年4月1日 The aim of this paper is to propose an effective method for extracting the beat characteristics and modal damping ratios of the bell type structures using the continuous
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Brush wear detection by continuous wavelet transform
2007年4月1日 Semantic Scholar extracted view of "Brush wear detection by continuous wavelet transform" by T. Figarella et al.
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Brush wear detection by continuous wavelet transform
As the mechanical contact between brushes and commutation segments increases, the rising parts of the current commutation waves become wider and this is a signal of brush wear. We
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Sci-Hub Brush wear detection by continuous wavelet transform ...
Brush wear detection by continuous wavelet transform. Mechanical Systems and Signal Processing, 21(3), 1212–1222. doi:10.1016/j.ymssp.2006.03.007 10.1016/j.ymssp.2006.03.007
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Brush wear detection by continuous wavelet transform - INFONA
As the mechanical contact between brushes and commutation segments increases, the rising parts of the current commutation waves become wider and this is a signal of brush wear. We
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Tool wear condition monitoring based on continuous wavelet
2018年5月24日 In fact, in order to produce quickly, economically, with high quality and reduce machine tool downtime, a new intelligent method for tool wear condition monitoring is based
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Tool wear condition monitoring based on continuous wavelet
Tool wear condition monitoring based on continuous wavelet transform and blind source sep. International Journal of Advanced Manufacturing Technology, 2018, 97 (7), pp.3311-3323.
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Wear detection by means of wavelet-based acoustic emission
2015年8月1日 This paper introduces the relevant scientific components of reliable and efficient condition monitoring system for online detection and automated classification of wear
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A wavelet-analysis-based differential method for engine wear
2013年6月28日 Index of particle coverage area, which represents wear-debris concentration in lube oil, was studied, and piecewise trend-extraction of index of particle coverage area was
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Brush wear detection by continuous wavelet transform - INFONA
This paper is concerned with the singularity detection of a motor current signal. These singularities are related to the brushes condition, which are one of the sensible parts of the motor to wear out. As the mechanical contact between brushes and commutation segments increases, the rising parts of the current commutation waves become wider and this is a signal of brush
MoreBrush wear detection by continuous wavelet transform - INFONA
This paper is concerned with the singularity detection of a motor current signal. These singularities are related to the brushes condition, which are one of the sensible parts of the motor to wear out. As the mechanical contact between brushes and commutation segments increases, the rising parts of the current commutation waves become wider and this is a signal of brush
More
Tool wear condition monitoring based on continuous wavelet
2018年5月24日 Prognostics and health management (PHM) for condition monitoring systems have been proposed for predicting faults and estimating the remaining useful life (RUL) of components. In fact, in order to produce quickly, economically, with high quality and reduce machine tool downtime, a new intelligent method for tool wear condition monitoring is based
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Wear detection by means of wavelet-based acoustic emission
2015年8月1日 High sensitive piezoelectric transducer was used to provide the continuous measurement of AE signals. The recorded AE signals were analyzed mainly by time-frequency analysis. A feature extraction module using a novel combination of Short-Time Fourier Transform (STFT) and Continuous Wavelet Transform (CWT) were used for
MoreWear Detection of Extruder Elements Based on Current Signature
Wear Detection of Extruder Elements Based on Current Signature by Means of a Continuous Wavelet Transform Processes ( IF 3.5) Pub Date : 2023-11-17, DOI: 10.3390/pr11113240 Marek Danielak, Kamil Witaszek, Adam Ekielski, Tomasz Żelaziński, Alla Dudnyk, Karol Durczak
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(PDF) Wear Detection of Extruder Elements Based on
2023年11月17日 In this context, wavelet analysis was used to investigate the wear condition of extruder elements, which yielded data on current waveforms obtained from 1 kHz frequency converters.
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Ripple Current in Aged Brushed DC Motors - Physics Forums
2013年1月2日 It would be intuitive for these ripples to decrease in magnitude over the lifetime of a motor but this doesn't seem to be the case based on data from a motor manufacturer and ripple images found in "Brush wear detection by continuous wavelet transform."
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Wear Detection by Means of Wavelet-based Acoustic Emission Analysis
2015年2月16日 Using advanced signal processing methods such as Short-Time Fourier Transform (STFT) and continuous wavelet transform (CWT), it was possible to distinguish different phases of wear (running-in ...
MoreWear Detection of Extruder Elements Based on Current Signature
2023年11月17日 Assessing the wear of components in a single-screw extruder and its condition during the process is difficult. In this context, wavelet analysis was used to investigate the wear condition of extruder elements, which yielded data on current waveforms obtained from 1 kHz frequency converters. To date, no tests of this type have been conducted on single-screw food
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Brush wear detection by continuous wavelet transform
Duik in de onderzoeksthema's van 'Brush wear detection by continuous wavelet transform'. Samen vormen ze een unieke vingerafdruk. Sorteer per Gewicht Alfabetische volgorde Engineering. Transforms 100%. Singularities 100%. Maximum Line 100%. Detection 100%. Motor 100%. Current Signal 50%. Algorithm 50%. Singular Point 50%. Mogelijk gemaakt ...
MoreWear detection by means of wavelet-based acoustic emission
Wear detection and monitoring during operation are complex and difficult tasks especially for materials under sliding conditions. ... and Continuous Wavelet Transform (CWT) were used for the first time. A detailed correlation analysis between complex signal characteristics and the surface damage resulting from contact fatigue was investigated.
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Improved peak detection in mass spectrum by incorporating continuous
2006年7月4日 Based on these observations, a continuous wavelet transform (CWT)-based peak detection algorithm has been devised that identifies peaks with different scales and amplitudes. By transforming the spectrum into wavelet space, the pattern-matching problem is simplified and in addition provides a powerful technique for identifying and separating the
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Sci-Hub Brush wear detection by continuous wavelet
Figarella, T., Jansen, M. H. (2007). Brush wear detection by continuous wavelet transform. Mechanical Systems and Signal Processing, 21(3), 1212–1222. doi:10.1016 ...
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Wear Detection of Extruder Elements Based on Current Signature
Assessing the wear of components in a single-screw extruder and its condition during the process is difficult. In this context, wavelet analysis was used to investigate the wear condition of extruder elements, which yielded data on current waveforms
More
Processes Free Full-Text Wear Detection of Extruder Elements
2023年11月17日 AMA Style. Danielak M, Witaszek K, Ekielski A, Żelaziński T, Dudnyk A, Durczak K. Wear Detection of Extruder Elements Based on Current Signature by Means of a Continuous Wavelet Transform.
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The processing of resonances excited by gear faults using continuous
2021年8月1日 This paper explores an improved technique for detection and characterisation of excited resonances by gear faults using the redundant information of continuous wavelet transforms (CWT) and sparsity measurement (SM) as a criterion for selecting the optimal parameters. The proposed method is conducted in two steps.
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A wavelet-analysis-based differential method for engine wear
2013年6月28日 Chambers KW, Arneson MC. An on-line ferromagnetic wear debris sensor for machinery condition monitoring and failure detection. Wear 1988; 128: 325–337. Crossref. Google ... Figarella T, Jansen MH. Brush wear detection by continuous wavelet transform. Mech Syst Signal Process 2007; 21: 1212–1222. Crossref. Google Scholar. 22. Xie ...
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Series arc fault detection based on continuous wavelet
The wavelet decomposition coefficients are obtained and presented in the form of images. The modal maxima of the wavelet coefficients reflect the sudden change point characteristics of the signal and can be used to detect arc faults. A continuous wavelet transform is performed on the original current signal with a scale of a = [1:1:64].
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Quantification of defect size in shearing direction by shearography
2007年6月1日 Brush wear detection by continuous wavelet transform. Article. Apr 2007; Talia Figarella; M. H. JANSEN; This paper is concerned with the singularity detection of a motor current signal.
MoreSci-Hub Brush wear detection by continuous wavelet
Figarella, T., Jansen, M. H. (2007). Brush wear detection by continuous wavelet transform. Mechanical Systems and Signal Processing, 21(3), 1212–1222. doi:10.1016 ...
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