A Sequence-Based Damage Identification Method for Composite Rotors by Applying the Kullback–Leibler Divergence, a Two-Sample Kolmogorov–Smirnov Test and a Statistical Hidden Markov Model
Composite structures undergo a gradual damage evolution from initial inter-fibre cracks to extended damage up to failure. However, most composites could remain in service despite the existence of damage. Prerequisite for a service extension is a reliable and component-specific damage identification....
Main Authors: | Angelos Filippatos, Albert Langkamp, Pawel Kostka, Maik Gude |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2019-07-01
|
Series: | Entropy |
Subjects: | |
Online Access: | https://www.mdpi.com/1099-4300/21/7/690 |
Similar Items
-
The Flexibility of the Generalized Gamma Distribution in Modeling the Fading Based on Kullback-Leibler and Kolmogorov-Smirnov Criteria
by: Zabihollah Hasanshahi, et al.
Published: (2020-01-01) -
Computation of Kullback–Leibler Divergence in Bayesian Networks
by: Serafín Moral, et al.
Published: (2021-08-01) -
Kullback–Leibler Divergence of Sleep-Wake Patterns Related with Depressive Severity in Patients with Epilepsy
by: Mingsu Liu, et al.
Published: (2023-05-01) -
Dynamic fine‐tuning layer selection using Kullback–Leibler divergence
by: Raphael Ngigi Wanjiku, et al.
Published: (2023-05-01) -
Entropy and the Kullback–Leibler Divergence for Bayesian Networks: Computational Complexity and Efficient Implementation
by: Marco Scutari
Published: (2024-01-01)