Structural Health Monitoring of Tall Buildings with Numerical Integrator and Convex-Concave Hull Classification
نویسندگان
چکیده
An important objective of health monitoring systems for tall buildings is to diagnose the state of the building and to evaluate its possible damage. In this paper, we use our prototype to evaluate our data-mining approach for the fault monitoring. The offset cancellation and high-pass filtering techniques are combined effectively to solve common problems in numerical integration of acceleration signals in real-time applications. The integration accuracy is improved compared with other numerical integrators. Then we introduce a novel method for support vector machine SVM classification, called convex-concave hull. We use the Jarvis march method to decide the concave nonconvex hull for the inseparable points. Finally the vertices of the convex-concave hull are applied for SVM training.
منابع مشابه
Numerical simulation of Laminar Free Convection Heat Transfer around Isothermal Concave and Convex Body Shapes
In the present research, free convection heat transfer from isothermal concave and convex body shapes is studied numerically. The body shapes investigated here, are bi-sphere, cylinder, prolate and cylinder with hemispherical ends; besides, they have the same height over width (H/D = 2). A Numerical simulation is implemented to obtain heat transfer and fluid flow from all of the geometries in a...
متن کاملLarge data sets classification using convex-concave hull and support vector machine
Normal support vector machine (SVM) is not suitable for classification of large data sets because of high training complexity. Convex hull can simplify the SVM training. However, the classification accuracy becomes lower when there exist inseparable points. This paper introduces a novel method for SVM classification, called convex–concave hull SVM (CCH-SVM). After grid processing, the convex hu...
متن کاملTorsion Analysis of High-Rise Buildings using Quadrilateral Panel Elements with Drilling D.O.F.s
Generally, the finite element method is a powerful procedure for analysis of tall buildings. Yet, it should be noted that there are some problems in the application of many finite elements to the analysis of tall building structures. The presence of artificial flexure and parasitic shear effects in many lower order plane stress and membrane elements, cause the numerical procedure to converge in...
متن کاملA New Concave Hull Algorithm and Concaveness Measure for n-dimensional Datasets
Convex and concave hulls are useful concepts for a wide variety of application areas, such as pattern recognition, image processing, statistics, and classification tasks. Concave hull performs better than convex hull, but it is difficult to formulate and few algorithms are suggested. Especially, an n-dimensional concave hull is more difficult than a 2or 3dimensional one. In this paper, we propo...
متن کاملAlpha-Concave Hull, a Generalization of Convex Hull
Bounding hull, such as convex hull, concave hull, alpha shapes etc. has vast applications in different areas especially in computational geometry. Alpha shape and concave hull are generalizations of convex hull. Unlike the convex hull, they construct non-convex enclosure on a set of points. In this paper, we introduce another generalization of convex hull, named alpha-concave hull, and compare ...
متن کامل