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An Improved Chirplet Transform and Its Application for Harmonics Detection

Guo-Sheng Hu, Feng-Feng Zhu
2011 Circuits and Systems  
Finally, by simulating the harmonic voltages, the power of the improved chirplet transform are illustrated for harmonic detection.  ...  In this paper, we proposed the improved chirplet transform (ICT) and constructed the inverse ICT.  ...  The improved chirplet wavelet in (6) does not satisfy the condition of zero mean for an admissible wavelet; therefore, it is not strictly a CWT, Written out explicitly, the improved chirplet transform  ... 
doi:10.4236/cs.2011.23016 fatcat:t4il7rsxazcyrb3qqmk56o6jg4

Wayside acoustic detection of train bearings based on an enhanced spline-kernelled chirplet transform

Dingcheng Zhang, Mani Entezami, Edward Stewart, Clive Roberts, Dejie Yu, Yaguo Lei
2020 Journal of Sound and Vibration  
To address these issues, a novel scheme based on an enhanced spline-kernelled chirplet transform method is proposed and introduced for use with wayside acoustic fault detection for train bearings.  ...  The parameterised TF methods, such as the polynomial chirplet transform [22] , generalised warblet transform [23] and splinekernelled chirplet transform (SCT) [24] , are designed to improve the energy  ...  • A novel scheme is proposed for wayside acoustic detection of train bearings; • An ESCT method is proposed to extract multiple components and their IFs; • Two build-in criterions in ESCT are proposed  ... 
doi:10.1016/j.jsv.2020.115401 fatcat:2kzd3trhenfgvd6vsncktmqugy

Drude conductivity of a granular metal

David T.S. Perkins, Robert A. Smith
2020 Annals of Physics  
To address these issues, a novel scheme based on an enhanced spline-kernelled chirplet transform method is proposed and introduced for use with wayside acoustic fault detection for train bearings.  ...  The parameterised TF methods, such as the polynomial chirplet transform [22] , generalised warblet transform [23] and splinekernelled chirplet transform (SCT) [24] , are designed to improve the energy  ...  • A novel scheme is proposed for wayside acoustic detection of train bearings; • An ESCT method is proposed to extract multiple components and their IFs; • Two build-in criterions in ESCT are proposed  ... 
doi:10.1016/j.aop.2020.168170 fatcat:mvdkx22ggbdkhhuotmrhc6jho4

Decomposition algebras and axial algebras

Tom De Medts, Simon F. Peacock, Sergey Shpectorov, Michiel Van Couwenberghe
2020 Journal of Algebra  
To address these issues, a novel scheme based on an enhanced spline-kernelled chirplet transform method is proposed and introduced for use with wayside acoustic fault detection for train bearings.  ...  The parameterised TF methods, such as the polynomial chirplet transform [22] , generalised warblet transform [23] and splinekernelled chirplet transform (SCT) [24] , are designed to improve the energy  ...  • A novel scheme is proposed for wayside acoustic detection of train bearings; • An ESCT method is proposed to extract multiple components and their IFs; • Two build-in criterions in ESCT are proposed  ... 
doi:10.1016/j.jalgebra.2020.02.027 fatcat:vjeqangz7ncspajh5czgkl2jjy

Order Spectrum Analysis for Bearing Fault Detection via Joint Application of Synchrosqueezing Transform and Multiscale Chirplet Path Pursuit

Jiesi Luo, Shaohui Zhang, Mingen Zhong, Zusheng Lin
2016 Shock and Vibration  
This article describes a new IF estimation method based on the joint application of the synchrosqueezing transform (SST) and the multiscale chirplet path pursuit (MSCPP) method.  ...  Order tracking has become one of the most effective methods for fault detection of rotating machinery under the time-varying shaft speed conditions.  ...  In Figure 10 the rotational frequency and its multiples. Furthermore, the fault characteristic frequency and its second and third harmonics are highlighted in Figure 10(b) .  ... 
doi:10.1155/2016/2976389 fatcat:qvfh5ftrt5g4lakae3s6f5xdpy

Matching Linear Chirplet Strategy based Synchroextracting Transform and its Application to Rotating Machinery Fault Diagnosis

Zehui Hua, Juanjuan Shi, Zhongkui Zhu
2020 IEEE Access  
ACKNOWLEDGMENT The authors would like to thank Lab E026 in University of Ottawa for the data collection.  ...  and its harmonics to the detected (true) fISRF.  ...  .: Matching Linear Chirplet Strategy based Synchroextracting Transform and its Application to Rotating Machinery Fault Diagnosis VOLUME XX, 2020  ... 
doi:10.1109/access.2020.3027067 fatcat:qozpug6wgzh4dfhc65qrmmuoxy

Chemical characteristics and source apportionment of PM2.5 using PMF modelling coupled with 1-hr resolution online air pollutant dataset for Linfen, China

Yafei Li, Baoshuang Liu, Zhigang Xue, Yufen Zhang, Xiaoyun Sun, Congbo Song, Qili Dai, Ruichen Fu, Yonggang Tai, Jinyu Gao, Yajun Zheng, Yinchang Feng
2020 Environmental Pollution  
The chemical species in PM2.5 and air pollutant concentration data with 1-hr resolution were monitored synchronously between 15 November 2018 and 20 January 2019 in Linfen, China, which were analysed for  ...  Diurnal variations in the contribution of secondary sources were mainly related to the accumulation and transformation of corresponding gaseous precursors.  ...  To address these issues, a novel scheme based on an enhanced spline-kernelled chirplet transform method is proposed and introduced for use with wayside acoustic fault detection for train bearings.  ... 
doi:10.1016/j.envpol.2020.114532 pmid:32311623 fatcat:cv6pewvr3ned7nmnxzymploxf4

Model-based analysis of dispersion curves using chirplets

Helge Kuttig, Marc Niethammer, Stefan Hurlebaus, Laurence J. Jacobs
2006 Journal of the Acoustical Society of America  
An adaptive algorithm identifies frequency regions for which quantitative statements can be made about an individual mode's energy, and employs chirplets ͑locally adapted to a dispersion curve model͒ to  ...  The chirplet transform, a generalization of both the wavelet and the short-time Fourier transform, enables the extraction of components of a signal with a particular instantaneous frequency and group delay  ...  An improved, adaptive chirplet analysis algorithm can also account for a mode's intersections ͑and closeness͒ to its neighboring modes, in addition to its own dispersion curve model.  ... 
doi:10.1121/1.2177587 pmid:16642827 fatcat:xb3glmacxzg6xhcjkg5vxfal3q

General Parameterized Time-Frequency Transform

Y. Yang, Z. K. Peng, X. J. Dong, W. M. Zhang, G. Meng
2014 IEEE Transactions on Signal Processing  
It provides the availability of a single generalized time-frequency transform for applications on signals of different natures.  ...  In real applications, it is desired to identify proper kernel with respect to the considered signal. This motivates us to propose an effective method to identify the kernel for the GPTF.  ...  [30] proposed chirplet path pursuit method to detect highly oscillatory signals. It applies locally well correlated chirplets of compact supported for the approximation purpose.  ... 
doi:10.1109/tsp.2014.2314061 fatcat:cqrlzt36yvcsnkaz64hodsa26u

Identification of Non-Stationary Magnetic Field Sources Using the Matching Pursuit Method

Beata Palczynska
2017 Energies  
It consists of the decomposition of an examined time-waveform into the linear expansion of chirplet atoms and the analysis of the matrix of their parameters.  ...  The method was implemented in the virtual application and used for processing real data, obtained from measurements of time-vary MF emissions onboard a ship.  ...  It shows the time waveform of the measured signal, its adaptive spectrogram, and information about parameters of the detected chirplets.  ... 
doi:10.3390/en10050655 fatcat:6uizgjncgfakxakmkkzj4irk7u

Segmentation of Killer Whale Vocalizations Using the Hilbert-Huang Transform

Olivier Adam
2008 EURASIP Journal on Advances in Signal Processing  
This is the case for acoustic observations in a natural environment and especially for the killer whales which swim in groups.  ...  To resolve this problem, we propose the use of the Hilbert-Huang transform. First, we illustrate how few modes (5) are satisfactory for the analysis of these calls.  ...  These results could be slightly improved by using an adaptive threshold. With the chirplet transform, the results decrease significantly in the presence of simultaneous vocalizations.  ... 
doi:10.1155/2008/245936 fatcat:zdk5bsd4bjev7fkjxfmeervgmm

Ball Screw Fault Detection and Location Based on Outlier and Instantaneous Rotational Frequency Estimation

Liang Guo, Yingqi Huang, Hongli Gao, Li Zhang
2019 Shock and Vibration  
Therefore, it is important to accurately detect faults and estimate fault location in a ball screw system to make sure that the ball screw system runs safely and effectively.  ...  The results demonstrate that the proposed method is able to accurately detect the faults in a ball screw system and estimate the fault location within an error of 22%.  ...  Preliminary A polynomial chirplet transform is a modified version of a conventional chirplet transform [34] . e conventional chirplet transform is an inner product between an input signal and chirplets  ... 
doi:10.1155/2019/7497363 fatcat:eubk2bj6gjfsxjspxc4mg3u7hy

Dynamic Synchronous Phasor Measurement Algorithm Based on Compressed Sensing

2020 KSII Transactions on Internet and Information Systems  
according to the best matching atomic parameters, and the total vector error index was used for an error evaluation.  ...  Finally, the improved orthogonal matching pursuit algorithm was used to realize the sparse decomposition of the signal to be detected, the amplitude and phase of the original power signal were estimated  ...  Because the DFT algorithm is suitable for fast computations and has good harmonic suppression characteristics, it has an increased value of application under static conditions, hence its wide use in synchronous  ... 
doi:10.3837/tiis.2020.01.004 fatcat:d56a7lceh5e3zcduac4i55vqy4

Fast Chirplet Transform to Enhance CNN Machine Listening - Validation on Animal calls and Speech [article]

Herve Glotin, Julien Ricard, Randall Balestriero
2017 arXiv   pre-print
First we motivate Chirplet bioinspired auditory representation. Second we give the first algorithm (and code) of a Fast Chirplet Transform (FCT).  ...  The results show that FCT accelerates CNN when it pretrains low level layers: it reduces training duration by -28\% for birds classification, and by -26% for vowels classification.  ...  Mallat, and P. Flandrin, for fruitful discussions on Scattering and Chirplet. We thank YLC and YB for advises on CNN. We thank V. Tassan for cleaning the code.  ... 
arXiv:1611.08749v2 fatcat:u2kk7cxuhjavhmssis7s6cithu

The Adaptive Chirplet Transform and Visual Evoked Potentials

J. Cui, W. Wong
2006 IEEE Transactions on Biomedical Engineering  
We propose a new approach based upon the adaptive chirplet transform (ACT) to characterize the time-dependent behavior of the visual evoked potential (VEP) from its initial transient portion (tVEP) to  ...  Index Terms-Chirplet transform, time-frequency analysis, tVEP and ssVEP, unified representation, visual evoked potentials. Jie Cui (S'99) completed undergraduate studies in  ...  Usually, it is different from EP evoked with low stimulus rates. Recently, a number of applications require fast estimation and detection of VEPs (e.g., [6] ).  ... 
doi:10.1109/tbme.2006.873700 pmid:16830941 fatcat:5z4bbfrcgje4hbdlp73f7gar4i
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