Among them Wavelet Transform, which has been gaining a special interest in many research and engineering fields, is emphasized with an example application based on numerically obtained vibration-time data representing various health conditions of a spur gear.
📌 3 Maddede Bu Makale
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Amaç & Hipotez:An overview of major signal processing and analysis methods finding an area of application in machinery fault diagnostics is presented.
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Temel Bulgular & Veri:An overview of major signal processing and analysis methods finding an area of application in machinery fault diagnostics is presented.
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Sonuç & Katkı:Among them Wavelet Transform, which has been gaining a special interest in many research and engineering fields, is emphasized with an example application based on numerically obtained vibration-time data representing various health conditions of a spur gear.
🔬Tür:Araştırma Makalesi
📍Kapsam:Genişletilmiş Akademik Örneklem
⚙️Değişkenler:Alan Parametreleri
Abstract
An overview of major signal processing and analysis methods finding an area of application in machinery fault diagnostics is presented. Among them Wavelet Transform, which has been gaining a special interest in many research and engineering fields, is emphasized with an example application based on numerically obtained vibration-time data representing various health conditions of a spur gear.
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Bu Makaleye Atıf Yap
ENGİN, Ş. N., GÜLEZ, K., BADİ, M. N. M. (1999). Advanced signal processing techniques for fault diagnostics - a review. Mathematical and Computational Applications, Cilt: 4 - Sayı: 1, 121–136. https://ajindex.com/articles/280470