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Analyzing Generator Bearings Fault Development Rates Based on Statistics

Kun Marhadi Brüel & Kjær Vibro, Denmark ANALYZING GENERATOR BEARINGS FAULT DEVELOPMENT RATES BASED ON STATISTICS Abstract ID: 58  Poster code: PO.010 | Download poster: PDF file (0.43 MB) | Full paper not available

Presenter's biography

Biographies are supplied directly by presenters at WindEurope 2016 and are published here unedited

Kun Marhadi is a development engineer in the Remote Monitoring Group at Brüel & Kjær Vibro. He joined Brüel & Kjær Vibro in 2012. Previously, he worked as a postdoctoral fellow in the Department of Mathematics at the Technical University of Denmark (DTU). He received his PhD in computational science in 2010 from San Diego State University and Claremont Graduate University. He has M.S. and B.S. in aerospace engineering from Texas A&M University. Dr. Marhadi's expertise is in structural vibration and analyses, probabilistic methods, and design optimization.

Abstract

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