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Prediction of spalling on a ball bearing by applying the discrete wavelet transform to vibration signals

Author
MORI, K1 ; KASASHIMA, N1 ; YOSHIOKA, T1 ; UENO, Y
[1] Mechanical Engineering Laboratory, AIST, MITI, Namiki 1-2, Tsukuba, Ibaraki 305, Japan
Source

Wear. 1996, Vol 195, Num 1-2, pp 162-168 ; ref : 20 ref

CODEN
WEARAH
ISSN
0043-1648
Scientific domain
Chemical engineering; Mechanical engineering; Mechanics acoustics; Metallurgy, welding
Publisher
Elsevier Science, Amsterdam / Elsevier Science, Lausanne / Elsevier Science, New York, NY
Publication country
Switzerland
Document type
Article
Language
English
Keyword (fr)
Appareillage essai Ecaillage Etude expérimentale In situ Monitorage Méthode numérique Métrologie Palier roulement Traitement signal Transformation ondelette Vibration
Keyword (en)
Testing equipment Scaling Experimental study In situ Monitoring Numerical method Metrology Rolling bearing Signal processing Wavelet transformation Vibration
Keyword (es)
Aparato ensayo Escamadura Estudio experimental In situ Monitoreo Método numérico Metrología Cojinete rodillos Procesamiento señal Transformación ondita Vibración
Classification
Pascal
001 Exact sciences and technology / 001D Applied sciences / 001D12 Mechanical engineering. Machine design / 001D12C Industrial metrology. Testing / 001D12C01 General

Pascal
001 Exact sciences and technology / 001D Applied sciences / 001D12 Mechanical engineering. Machine design / 001D12E Drives / 001D12E03 Bearings, bushings, rolling bearings

Discipline
Mechanical engineering. Mechanical construction. Handling
Origin
Inist-CNRS
Database
PASCAL
INIST identifier
3104802

Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS

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