Quality control of household appliances can be improved by replacing human inspection with automated analysis of vibration signals. This book presents vibration methods for diagnosing and prognosing mechanical faults in electric motors and washing machines. This includes pre-processing of raw vibration data for reducing measurement noise, such as speckle noise occurring when optically rough surfaces are measured by Laser Doppler Vibrometer (LDV). New algorithms for speckle noise reduction are presented, including kurtosis ratio and optical level thresholding. Application to real LDV data (measured on production line by AEA srl, Loccioni) shows that these algorithms improve detectability of mechanical faults by enhancing envelope and order spectra. The book gives practical examples how to successfully combine classical methods (cepstrum, CPB spectrum, order tracking), as well as recent algorithms based on wavelet transform. The book presents findings of accelerated lifetime tests suggesting that motors and gearboxes possess a great potential for reuse. Proposed methods can be integrated into remaining life estimation methodologies.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
Quality control of household appliances can be improved by replacing human inspection with automated analysis of vibration signals. This book presents vibration methods for diagnosing and prognosing mechanical faults in electric motors and washing machines. This includes pre-processing of raw vibration data for reducing measurement noise, such as speckle noise occurring when optically rough surfaces are measured by Laser Doppler Vibrometer (LDV). New algorithms for speckle noise reduction are presented, including kurtosis ratio and optical level thresholding. Application to real LDV data (measured on production line by AEA srl, Loccioni) shows that these algorithms improve detectability of mechanical faults by enhancing envelope and order spectra. The book gives practical examples how to successfully combine classical methods (cepstrum, CPB spectrum, order tracking), as well as recent algorithms based on wavelet transform. The book presents findings of accelerated lifetime tests suggesting that motors and gearboxes possess a great potential for reuse. Proposed methods can be integrated into remaining life estimation methodologies.
Jiri Vass is research engineer at Honeywell ACS Labs. PhD in Electrical Engineering Theory (Czech Technical University) awarded Siemens Excellence Award. Studied at Tampere University of Technology (Finland), Technion (Israel) and University of NSW (Australia). Author of 12 papers on fault diagnostics, vibration analysis and HVAC control.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Quality control of household appliances can be improved by replacing human inspection with automated analysis of vibration signals. This book presents vibration methods for diagnosing and prognosing mechanical faults in electric motors and washing machines. This includes pre-processing of raw vibration data for reducing measurement noise, such as speckle noise occurring when optically rough surfaces are measured by Laser Doppler Vibrometer (LDV). New algorithms for speckle noise reduction are presented, including kurtosis ratio and optical level thresholding. Application to real LDV data (measured on production line by AEA srl, Loccioni) shows that these algorithms improve detectability of mechanical faults by enhancing envelope and order spectra. The book gives practical examples how to successfully combine classical methods (cepstrum, CPB spectrum, order tracking), as well as recent algorithms based on wavelet transform. The book presents findings of accelerated lifetime tests suggesting that motors and gearboxes possess a great potential for reuse. Proposed methods can be integrated into remaining life estimation methodologies. 220 pp. Englisch. N° de réf. du vendeur 9783843359115
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Taschenbuch. Etat : Neu. Vibration Fault Diagnostics for Quality Control and Component Reuse | Diagnostics of Electric Motors and Household Appliances using Laser Doppler Vibrometer | Jiri Vass (u. a.) | Taschenbuch | 220 S. | Englisch | 2010 | LAP LAMBERT Academic Publishing | EAN 9783843359115 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu. N° de réf. du vendeur 107194008
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Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -Quality control of household appliances can be improved by replacing human inspection with automated analysis of vibration signals. This book presents vibration methods for diagnosing and prognosing mechanical faults in electric motors and washing machines. This includes pre-processing of raw vibration data for reducing measurement noise, such as speckle noise occurring when optically rough surfaces are measured by Laser Doppler Vibrometer (LDV). New algorithms for speckle noise reduction are presented, including kurtosis ratio and optical level thresholding. Application to real LDV data (measured on production line by AEA srl, Loccioni) shows that these algorithms improve detectability of mechanical faults by enhancing envelope and order spectra. The book gives practical examples how to successfully combine classical methods (cepstrum, CPB spectrum, order tracking), as well as recent algorithms based on wavelet transform. The book presents findings of accelerated lifetime tests suggesting that motors and gearboxes possess a great potential for reuse. Proposed methods can be integrated into remaining life estimation methodologies.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 220 pp. Englisch. N° de réf. du vendeur 9783843359115
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Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Quality control of household appliances can be improved by replacing human inspection with automated analysis of vibration signals. This book presents vibration methods for diagnosing and prognosing mechanical faults in electric motors and washing machines. This includes pre-processing of raw vibration data for reducing measurement noise, such as speckle noise occurring when optically rough surfaces are measured by Laser Doppler Vibrometer (LDV). New algorithms for speckle noise reduction are presented, including kurtosis ratio and optical level thresholding. Application to real LDV data (measured on production line by AEA srl, Loccioni) shows that these algorithms improve detectability of mechanical faults by enhancing envelope and order spectra. The book gives practical examples how to successfully combine classical methods (cepstrum, CPB spectrum, order tracking), as well as recent algorithms based on wavelet transform. The book presents findings of accelerated lifetime tests suggesting that motors and gearboxes possess a great potential for reuse. Proposed methods can be integrated into remaining life estimation methodologies. N° de réf. du vendeur 9783843359115
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