-
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
Source URL (retrieved on 2024-05-30 17:55): https://repository.tudelft.nl/islandora/search/subject%3A%22Structural%255C%252Bhealth%255C%252Bmonitoring%22?amp%3Bf%5B0%5D=mods_subject_topic_ss%3A%22corrosion%22&collection=research&f%5B0%5D=mods_name_personal_author_namePart_family_ss%3A%22Pahlavan%22