Pseudo Wigner–Ville Time-Frequency Distribution and Its Application to Machinery Condition Monitoring

Machinery operating in a nonstationary mode generates a signature that at each instant of time has a distinct frequency. A Time-frequency domain representation is needed to characterize such a signature. Pseudo Wigner–Ville distribution is ideally suited for portraying a nonstationary signal in the...
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Autor*in:	Young S. Shin [verfasserIn] Jae-Jin Jeon [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	1993

Übergeordnetes Werk:	In: Shock and Vibration - Hindawi Limited, 2015, 1(1993), 1, Seite 65-76
Übergeordnetes Werk:	volume:1 ; year:1993 ; number:1 ; pages:65-76

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc Journal toc

DOI / URN:	10.3233/SAV-1993-1109

Katalog-ID:	DOAJ018872751

Internformat


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allfields	10.3233/SAV-1993-1109 doi (DE-627)DOAJ018872751 (DE-599)DOAJ9b1f6e5c64ee4eaeb08d15df13f0b8b1 DE-627 ger DE-627 rakwb eng QC1-999 Young S. Shin verfasserin aut Pseudo Wigner–Ville Time-Frequency Distribution and Its Application to Machinery Condition Monitoring 1993 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Machinery operating in a nonstationary mode generates a signature that at each instant of time has a distinct frequency. A Time-frequency domain representation is needed to characterize such a signature. Pseudo Wigner–Ville distribution is ideally suited for portraying a nonstationary signal in the time-frequency domain and is carried out by adapting the fast Fourier transform algorithm. The important parameters affecting the pseudo Wigner–Ville distribution are discussed and sensitivity analyses are also performed. Practical examples of an actual transient signal are used to illustrate its dynamic features jointly in time and frequency. Physics Jae-Jin Jeon verfasserin aut In Shock and Vibration Hindawi Limited, 2015 1(1993), 1, Seite 65-76 (DE-627)341903957 (DE-600)2070162-7 18759203 nnns volume:1 year:1993 number:1 pages:65-76 https://doi.org/10.3233/SAV-1993-1109 kostenfrei https://doaj.org/article/9b1f6e5c64ee4eaeb08d15df13f0b8b1 kostenfrei http://dx.doi.org/10.3233/SAV-1993-1109 kostenfrei https://doaj.org/toc/1070-9622 Journal toc kostenfrei https://doaj.org/toc/1875-9203 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2014 GBV_ILN_2026 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2108 GBV_ILN_2111 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 1 1993 1 65-76
spelling	10.3233/SAV-1993-1109 doi (DE-627)DOAJ018872751 (DE-599)DOAJ9b1f6e5c64ee4eaeb08d15df13f0b8b1 DE-627 ger DE-627 rakwb eng QC1-999 Young S. Shin verfasserin aut Pseudo Wigner–Ville Time-Frequency Distribution and Its Application to Machinery Condition Monitoring 1993 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Machinery operating in a nonstationary mode generates a signature that at each instant of time has a distinct frequency. A Time-frequency domain representation is needed to characterize such a signature. Pseudo Wigner–Ville distribution is ideally suited for portraying a nonstationary signal in the time-frequency domain and is carried out by adapting the fast Fourier transform algorithm. The important parameters affecting the pseudo Wigner–Ville distribution are discussed and sensitivity analyses are also performed. Practical examples of an actual transient signal are used to illustrate its dynamic features jointly in time and frequency. Physics Jae-Jin Jeon verfasserin aut In Shock and Vibration Hindawi Limited, 2015 1(1993), 1, Seite 65-76 (DE-627)341903957 (DE-600)2070162-7 18759203 nnns volume:1 year:1993 number:1 pages:65-76 https://doi.org/10.3233/SAV-1993-1109 kostenfrei https://doaj.org/article/9b1f6e5c64ee4eaeb08d15df13f0b8b1 kostenfrei http://dx.doi.org/10.3233/SAV-1993-1109 kostenfrei https://doaj.org/toc/1070-9622 Journal toc kostenfrei https://doaj.org/toc/1875-9203 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2014 GBV_ILN_2026 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2108 GBV_ILN_2111 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 1 1993 1 65-76
allfields_unstemmed	10.3233/SAV-1993-1109 doi (DE-627)DOAJ018872751 (DE-599)DOAJ9b1f6e5c64ee4eaeb08d15df13f0b8b1 DE-627 ger DE-627 rakwb eng QC1-999 Young S. Shin verfasserin aut Pseudo Wigner–Ville Time-Frequency Distribution and Its Application to Machinery Condition Monitoring 1993 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Machinery operating in a nonstationary mode generates a signature that at each instant of time has a distinct frequency. A Time-frequency domain representation is needed to characterize such a signature. Pseudo Wigner–Ville distribution is ideally suited for portraying a nonstationary signal in the time-frequency domain and is carried out by adapting the fast Fourier transform algorithm. The important parameters affecting the pseudo Wigner–Ville distribution are discussed and sensitivity analyses are also performed. Practical examples of an actual transient signal are used to illustrate its dynamic features jointly in time and frequency. Physics Jae-Jin Jeon verfasserin aut In Shock and Vibration Hindawi Limited, 2015 1(1993), 1, Seite 65-76 (DE-627)341903957 (DE-600)2070162-7 18759203 nnns volume:1 year:1993 number:1 pages:65-76 https://doi.org/10.3233/SAV-1993-1109 kostenfrei https://doaj.org/article/9b1f6e5c64ee4eaeb08d15df13f0b8b1 kostenfrei http://dx.doi.org/10.3233/SAV-1993-1109 kostenfrei https://doaj.org/toc/1070-9622 Journal toc kostenfrei https://doaj.org/toc/1875-9203 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2014 GBV_ILN_2026 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2108 GBV_ILN_2111 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 1 1993 1 65-76
allfieldsGer	10.3233/SAV-1993-1109 doi (DE-627)DOAJ018872751 (DE-599)DOAJ9b1f6e5c64ee4eaeb08d15df13f0b8b1 DE-627 ger DE-627 rakwb eng QC1-999 Young S. Shin verfasserin aut Pseudo Wigner–Ville Time-Frequency Distribution and Its Application to Machinery Condition Monitoring 1993 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Machinery operating in a nonstationary mode generates a signature that at each instant of time has a distinct frequency. A Time-frequency domain representation is needed to characterize such a signature. Pseudo Wigner–Ville distribution is ideally suited for portraying a nonstationary signal in the time-frequency domain and is carried out by adapting the fast Fourier transform algorithm. The important parameters affecting the pseudo Wigner–Ville distribution are discussed and sensitivity analyses are also performed. Practical examples of an actual transient signal are used to illustrate its dynamic features jointly in time and frequency. Physics Jae-Jin Jeon verfasserin aut In Shock and Vibration Hindawi Limited, 2015 1(1993), 1, Seite 65-76 (DE-627)341903957 (DE-600)2070162-7 18759203 nnns volume:1 year:1993 number:1 pages:65-76 https://doi.org/10.3233/SAV-1993-1109 kostenfrei https://doaj.org/article/9b1f6e5c64ee4eaeb08d15df13f0b8b1 kostenfrei http://dx.doi.org/10.3233/SAV-1993-1109 kostenfrei https://doaj.org/toc/1070-9622 Journal toc kostenfrei https://doaj.org/toc/1875-9203 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2014 GBV_ILN_2026 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2108 GBV_ILN_2111 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 1 1993 1 65-76
allfieldsSound	10.3233/SAV-1993-1109 doi (DE-627)DOAJ018872751 (DE-599)DOAJ9b1f6e5c64ee4eaeb08d15df13f0b8b1 DE-627 ger DE-627 rakwb eng QC1-999 Young S. Shin verfasserin aut Pseudo Wigner–Ville Time-Frequency Distribution and Its Application to Machinery Condition Monitoring 1993 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Machinery operating in a nonstationary mode generates a signature that at each instant of time has a distinct frequency. A Time-frequency domain representation is needed to characterize such a signature. Pseudo Wigner–Ville distribution is ideally suited for portraying a nonstationary signal in the time-frequency domain and is carried out by adapting the fast Fourier transform algorithm. The important parameters affecting the pseudo Wigner–Ville distribution are discussed and sensitivity analyses are also performed. Practical examples of an actual transient signal are used to illustrate its dynamic features jointly in time and frequency. Physics Jae-Jin Jeon verfasserin aut In Shock and Vibration Hindawi Limited, 2015 1(1993), 1, Seite 65-76 (DE-627)341903957 (DE-600)2070162-7 18759203 nnns volume:1 year:1993 number:1 pages:65-76 https://doi.org/10.3233/SAV-1993-1109 kostenfrei https://doaj.org/article/9b1f6e5c64ee4eaeb08d15df13f0b8b1 kostenfrei http://dx.doi.org/10.3233/SAV-1993-1109 kostenfrei https://doaj.org/toc/1070-9622 Journal toc kostenfrei https://doaj.org/toc/1875-9203 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2014 GBV_ILN_2026 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2108 GBV_ILN_2111 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 1 1993 1 65-76
language	English
source	In Shock and Vibration 1(1993), 1, Seite 65-76 volume:1 year:1993 number:1 pages:65-76
sourceStr	In Shock and Vibration 1(1993), 1, Seite 65-76 volume:1 year:1993 number:1 pages:65-76
format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	Physics
isfreeaccess_bool	true
container_title	Shock and Vibration
authorswithroles_txt_mv	Young S. Shin @@aut@@ Jae-Jin Jeon @@aut@@
publishDateDaySort_date	1993-01-01T00:00:00Z
hierarchy_top_id	341903957
id	DOAJ018872751
language_de	englisch
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author	Young S. Shin
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topic_title	QC1-999 Pseudo Wigner–Ville Time-Frequency Distribution and Its Application to Machinery Condition Monitoring
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title	Pseudo Wigner–Ville Time-Frequency Distribution and Its Application to Machinery Condition Monitoring
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title_sort	pseudo wigner–ville time-frequency distribution and its application to machinery condition monitoring
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title_auth	Pseudo Wigner–Ville Time-Frequency Distribution and Its Application to Machinery Condition Monitoring
abstract	Machinery operating in a nonstationary mode generates a signature that at each instant of time has a distinct frequency. A Time-frequency domain representation is needed to characterize such a signature. Pseudo Wigner–Ville distribution is ideally suited for portraying a nonstationary signal in the time-frequency domain and is carried out by adapting the fast Fourier transform algorithm. The important parameters affecting the pseudo Wigner–Ville distribution are discussed and sensitivity analyses are also performed. Practical examples of an actual transient signal are used to illustrate its dynamic features jointly in time and frequency.
abstractGer	Machinery operating in a nonstationary mode generates a signature that at each instant of time has a distinct frequency. A Time-frequency domain representation is needed to characterize such a signature. Pseudo Wigner–Ville distribution is ideally suited for portraying a nonstationary signal in the time-frequency domain and is carried out by adapting the fast Fourier transform algorithm. The important parameters affecting the pseudo Wigner–Ville distribution are discussed and sensitivity analyses are also performed. Practical examples of an actual transient signal are used to illustrate its dynamic features jointly in time and frequency.
abstract_unstemmed	Machinery operating in a nonstationary mode generates a signature that at each instant of time has a distinct frequency. A Time-frequency domain representation is needed to characterize such a signature. Pseudo Wigner–Ville distribution is ideally suited for portraying a nonstationary signal in the time-frequency domain and is carried out by adapting the fast Fourier transform algorithm. The important parameters affecting the pseudo Wigner–Ville distribution are discussed and sensitivity analyses are also performed. Practical examples of an actual transient signal are used to illustrate its dynamic features jointly in time and frequency.
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title_short	Pseudo Wigner–Ville Time-Frequency Distribution and Its Application to Machinery Condition Monitoring
url	https://doi.org/10.3233/SAV-1993-1109 https://doaj.org/article/9b1f6e5c64ee4eaeb08d15df13f0b8b1 http://dx.doi.org/10.3233/SAV-1993-1109 https://doaj.org/toc/1070-9622 https://doaj.org/toc/1875-9203
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Pseudo Wigner–Ville Time-Frequency Distribution and Its Application to Machinery Condition Monitoring

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