Searched for: subject%3A%22Structural%255C%252Bhealth%255C%252Bmonitoring%22
(1 - 4 of 4)
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
Huijer, A.J. (author), Kassapoglou, C. (author), Pahlavan, Lotfollah (author)
Piezoelectric sensors can be embedded in carbon fibre-reinforced plastics (CFRP) for continuous measurement of acoustic emissions (AE) without the sensor being exposed or disrupting hydro- or aerodynamics. Insights into the sensitivity of the embedded sensor are essential for accurate identification of AE sources. Embedded sensors are considered...
journal article 2021
document
Pahlavan, L. (author)
In order for the increased use of fiber-reinforced composite structures to be financially feasible, employment of reliable and economical systems to detect damage and evaluate structural integrity is necessary. This task has traditionally been performed using off-line non-destructive testing (NDT) techniques. Safety enhancement programs and cost...
doctoral thesis 2012
Searched for: subject%3A%22Structural%255C%252Bhealth%255C%252Bmonitoring%22
(1 - 4 of 4)