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brush wear detection by continuous wavelet

Brush wear detection by continuous wavelet transform

Apr 01, 2007 Some applications of wavelet analysis for change point detection problems can be encountered in,, . In this paper we propose a method to obtain an indicator of brush degradation based on the continuous wavelet transform, which can be used for monitoring purposes.

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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 successfully...

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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 successfully implement an algorithm to localise the singular points of the commutation waves based on the wavelet

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Brush wear detection by continuous wavelet transform

Apr 01, 2007 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 successfully implement an algorithm to localise the singular points of the commutation waves based on the wavelet maxima lines.

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Brush wear detection by continuous wavelet transform CORE

Download PDF: Sorry, we are unable to provide the full text but you may find it at the following location(s): hdl.handle.net/2013/ULB (external link)

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Remote monitoring of DC motor sparking by wavelet analysis

Brush wear detection by continuous wavelet transform wider and this is a signal of brush wear. We successfully implement an algorithm to localise the singular points of the commutation waves

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DeepDyve Unlimited Access to Peer-Reviewed Journals

DeepDyve is the largest online rental service for scholarly research with thousands of academic publications available at your fingertips.

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Remote monitoring of DC motor sparking by wavelet analysis

Brush wear detection by continuous wavelet transform wider and this is a signal of brush wear. We successfully implement an algorithm to localise the singular points of the commutation waves

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Tool wear condition monitoring based on continuous wavelet

May 24, 2018 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 on continuous wavelet transform

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Wear 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. Due to the permanent contact and repetitive motion, the material surface remains during tests non-accessible for optical inspection so that attrition of the contact partners cannot be easily detected. This paper introduces the relevant scientific components of

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Time–frequency analysis for ultrasonic measurement of

Feb 01, 2013 Brush wear detection by continuous wavelet transform Mech. Syst. Signal Process.,21 ( 3 ) ( 2007 ),pp. 1212 1222 Article Download PDF View Record in Scopus Google Scholar

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A wavelet-analysis-based differential method for engine

On-line wear monitoring could provide timely information about engine health condition. In the current study, on-line monitoring of engine wear via an on-line visual ferrograph was performed in reliability tests of gasoline engines, and a wavelet-analysis-based differential method of data analysis for wear condition estimation was proposed.

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Maarten Jansen's Publications

Brush wear detection by continuous wavelet transform. Mechanical Systems and Signal Processing, 21(3), pages 1212-1222, April 2007. M. Jansen. Minimum risk thresholds for data with heavy noise. IEEE Signal Processing Letters, 13(5), pages 296-299, May 2006. PDF

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A Simple Continuous Wavelet Transform Method for

A Simple Continuous Wavelet Transform Method for Detection of Rolling Element Bearing Faults and its Comparison with Envelope Detection Sunil Tyagi1, SK Panigrahi2. 1, 2Department ofMechanicalEngineering,DefenseInstitute AdvanceTechnology,Girinagar,Pune-411025,India Abstract: Envelope Detection (ED) is traditionally used to identify the rolling

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APPLICATION OF WAVELET ANALYSIS IN DAMAGE

List of symbols and abbreviations 7 Wj details space x space coordinate x(t) displacement signal x(t) displacement vector X( ) Fourier transform of displacement signal y space coordinate z input of neural network Z integers performance ratio learning rate (x)

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Series Arc Fault Detection Using Discrete Wavelet Transform

Continuous wavelet transforms (CWT) and Discrete wavelet transforms (DWT). blades, generator, or motor brushes, etc.) or may become hazardous (e.g., in electrical wiring) and lead to dramatic Proposed Fault Detection Method Using Discrete Wavelet Transform During the process of series arc fault detection, the signal

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Wear detection by means of wavelet-based acoustic emission

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 the first time.

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Discrete Wavelet Transform Based Rotor Faults Detection

plane. This procedure is repeated until the wavelet reaches the end of the signal. One row of points on the time-scale plane for the scale s=1 is now completed. In this way the continuous wavelet transform is computed for all the imposed values of s. For the discrete wavelet transform (DWT) the main idea is the same as it is in the case

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Gear Damage Detection Using Impulse Response Wavelet

A novel method for detection the gear wear fault according to impulse response wavelet transform is presented. The continuous wavelet transform is widely recognized as an effective technique for rotating machine fault detection using vibration signal since it can be used to detect both stationary and transitory signals. This advantage makes it very suitable for the detection of singularity

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Fault detection in induction machine by analysis of stator

Fault detection in induction machine by analysis of stator current in transient condition by continuous wavelet transform Mahdi Javid, Department of Electrical Power, Faculty of Engineering, Saveh Branch, continuous engine operation in the industry and its wear and tear due to continuous operation and various stresses, and the

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Brush wear detection by continuous wavelet transform CORE

Brush wear detection by continuous wavelet transform . By TR Figarella Gomez and MH Maarten Jansen. Abstract. 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

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A Simple Continuous Wavelet Transform Method for

A Simple Continuous Wavelet Transform Method for Detection of Rolling Element Bearing Faults and its Comparison with Envelope Detection Sunil Tyagi1, SK Panigrahi2. 1, 2Department ofMechanicalEngineering,DefenseInstitute AdvanceTechnology,Girinagar,Pune-411025,India Abstract: Envelope Detection (ED) is traditionally used to identify the rolling

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Fault Detection in DC Electro Motors Using the Continuous

Two time–frequency methods were used to detect typical faults in DC electro motors: the windowed Fourier transform and the continuous wavelet transform. Four groups containing three electro motors each were manufactured with typical faults and examined. These faults included a bearing fault, an increased unbalance, a fragmented brush and a fragmented collector.

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APPLICATION OF WAVELET ANALYSIS IN DAMAGE

List of symbols and abbreviations 7 Wj details space x space coordinate x(t) displacement signal x(t) displacement vector X( ) Fourier transform of displacement signal y space coordinate z input of neural network Z integers performance ratio learning rate (x)

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Wear detection by means of wavelet-based acoustic emission

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 the first time.

get price

Gear Damage Detection Using Impulse Response Wavelet

A novel method for detection the gear wear fault according to impulse response wavelet transform is presented. The continuous wavelet transform is widely recognized as an effective technique for rotating machine fault detection using vibration signal since it can be used to detect both stationary and transitory signals. This advantage makes it very suitable for the detection of singularity

get price

Series Arc Fault Detection Using Discrete Wavelet Transform

Continuous wavelet transforms (CWT) and Discrete wavelet transforms (DWT). blades, generator, or motor brushes, etc.) or may become hazardous (e.g., in electrical wiring) and lead to dramatic Proposed Fault Detection Method Using Discrete Wavelet Transform During the process of series arc fault detection, the signal

get price

US7965459B2 Wavelets-based detection of proximity

However, the sensor-object proximity detection scheme can in general be applied using continuous wavelet transforms (CWT) or discrete wavelet transforms (DWT). In accordance with a one embodiment, slider excitation modes during slider-medium contact or near-contact are first briefly addressed below in connection with FIGS. 1 and 2 .

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Fault detection in induction machine by analysis of stator

Fault detection in induction machine by analysis of stator current in transient condition by continuous wavelet transform Mahdi Javid, Department of Electrical Power, Faculty of Engineering, Saveh Branch, continuous engine operation in the industry and its wear and tear due to continuous operation and various stresses, and the

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Gear Fault Diagnostics using Wavelet Transform

Based On Continuous Wavelet Transform, Mechanical System and Signal Processing, 2002, 447-457 [10] N. Baydar and A. Ball, Detection of gear failures via vibration and Acoustic signals using wavelet transform, Mechanical Systems and Signal 2003Processing,, 787– 804 [11] J. Lin and M. J. Zuo,Gearbox Fault Diagnosis Using

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Pain Detection with fNIRS-Measured Brain Signals: A

Pain Detection with fNIRS-Measured Brain Signals: a tactile brush session and an electrical stimulation session. During the resting state, the participant was asked to simply sit comfortably in a chair and continuous wavelet transform [18], a powerful time-frequency

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Gear Fault Location Detection for Split Torque Gearbox

only limited research on STG fault detection using vibration sensors and acoustic emission sensors has been conducted. In this paper, an effective methodology on gear fault location detection using AE sensors for STG is presented. The methodology uses wavelet transform to process the AE sensor signals to determine the arrival

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Correlation analysis of motor current and chatter

To achieve accurate and reliable chatter detection using motor current, it is important to make clear the quantitative relationship between motor current and chatter vibration, which has not yet been studied clearly. In this study, complex continuous wavelet coherence, including cross wavelet transform and wavelet coherence, is applied to

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Fault Detection of Roller Bearing Using Vibration Analysis

Zarei J, Poshtan J [5] (2007)Describe that in the Meyer wavelet the detection of bearing defect is discovered by using the sta-tor current study as the fault indicator in the wavelet packet structure. In this technique, WPT can provide better analysis which covers the range of frequency band and its detection

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