State-of-the-art review on advancements of data mining in structural health monitoring
To date, data mining (DM) techniques, ie artificial intelligence, machine learning, and
statistical methods have been utilized in a remarkable number of structural health monitoring …
statistical methods have been utilized in a remarkable number of structural health monitoring …
[HTML][HTML] Recent developments in damage identification of structures using data mining
M Gordan, HA Razak, Z Ismail… - Latin American Journal of …, 2017 - SciELO Brasil
Civil structures are usually prone to damage during their service life and it leads them to loss
their serviceability and safety. Thus, damage assessment can guarantee the integrity of …
their serviceability and safety. Thus, damage assessment can guarantee the integrity of …
Self-adaptive multi-population Rao algorithms for engineering design optimization
The performance of various population-based advanced optimization algorithms has been
significantly improved by using the multi-population search scheme. The multi-population …
significantly improved by using the multi-population search scheme. The multi-population …
A generally modified cuckoo optimization algorithm for crack detection in cantilever Euler-Bernoulli beams
In this research, a new and Generally Modified Cuckoo Optimization Algorithm (GMCOA) for
solving the problem of detecting and estimating open-edge cracks in cantilever Euler …
solving the problem of detecting and estimating open-edge cracks in cantilever Euler …
Meta-heuristic algorithms: an appropriate approach in crack detection
A structural fault is a significant factor that represents a safety hazard in the proper
functioning of the structure. Thus, the crack should be detected and remade before the …
functioning of the structure. Thus, the crack should be detected and remade before the …
Improvement of the computational efficiency of metaheuristic algorithms for the crack detection of cantilever beams using hybrid methods
This study examines the capability of various optimization algorithms and proposes novel
hybrid algorithms for more precise prediction of open-edge cracks in cantilever beams. The …
hybrid algorithms for more precise prediction of open-edge cracks in cantilever beams. The …
Structural single and multiple crack detection in cantilever beams using a hybrid Cuckoo-Nelder-Mead optimization method
In this study, the number, location and depth of cracks created in several Euler-Bernoulli
beams, such as a simple beam and a more complex multi-step beam are investigated. The …
beams, such as a simple beam and a more complex multi-step beam are investigated. The …
Optimization-based evolutionary data mining techniques for structural health monitoring
In recent years, data mining technology has been employed to solve various Structural
Health Monitoring (SHM) problems as a comprehensive strategy because of its …
Health Monitoring (SHM) problems as a comprehensive strategy because of its …
[PDF][PDF] Control and balancing of two-wheeled mobile robots using Sugeno fuzzy logic in the domain of AI techniques
AS Chouhan, DR Parhi, A Chhotray - Emerging trends in …, 2018 - researchgate.net
A comprehensive research has been addressed in the current analysis towards the control
and stability of two-wheeled mobile robots using Sugeno Fuzzy logic technique. During the …
and stability of two-wheeled mobile robots using Sugeno Fuzzy logic technique. During the …
Crack detection and identification using vibration signals and fuzzy clustering
I Abu-Mahfouz, A Banerjee - Procedia Computer Science, 2017 - Elsevier
Cracks in machine and structural components are among the most critical faults that require
immediate attention by operations and maintenance personnel. In many cases it is difficult to …
immediate attention by operations and maintenance personnel. In many cases it is difficult to …