Searched for: subject%3A%22Acoustics%22
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document
Scheeren, B. (author), Kaminski, M.L. (author), Pahlavan, Lotfollah (author)
This article presents an approach to identify naturally developed damage in low-speed bearings using waveform-similarity-based clustering of acoustic emissions (AEs) under fatigue loading. The approach is motivated by the notation that each recorded AE signal from a particular damage is defined by the convolution of the source signal, transfer...
journal article 2023
document
Scheeren, B. (author), Kaminski, M.L. (author), Pahlavan, Lotfollah (author)
In the condition monitoring of bearings using acoustic emission (AE), the restriction to solely instrument one of the two rings is generally considered a limitation for detecting signals originating from defects on the opposing non-instrumented ring or its interface with the rollers due to the signal energy loss. This paper presents an approach...
journal article 2022
document
Scheeren, B. (author), Pahlavan, Lotfollah (author)
This study presents an approach for the detection of evolving degradation in large-scale low-speed roller bearings by clustering of Acoustic Emission (AE) events, and its application to experimental degradation data. To acquire the latter, a purpose-built linear bearing, representative of a segment of a turret bearing, has been instrumented with...
conference paper 2022
document
Scheeren, Bart (author)
Research into multi-axial fatigue requires knowledge on the through time and thickness development of the propagating crack front. In order to provide this knowledge methods must be developed to monitor crack initiation and growth during a fatigue test. The acoustic emission method has been recognised as a possible means to this end. <br/...
master thesis 2017
Searched for: subject%3A%22Acoustics%22
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