In this paper, we investigate the characteristics of an object’s vibration in identifying its material of construction. A simple vibration test is performed to classify different types of materials. The test is done by performing small hammer excitation on the object then recording its vibration using one acceleration sensor. Four different materials were tested (steel, hardwood, softwood, and plastic). The vibration signal was analyzed using MATLAB based model. The trained model was able to recognize the testing samples of each material. The advantages of this method are that it is accurate, fast and simple, can be performed on-site and is relatively inexpensive
Early damage detection and classification by condition monitoring systems is crucial to enable predi...
This paper proposes an implementation of alternative statistical signal analysis method in character...
Structural Health Monitoring (SHM) and condition assessment deal with inspecting the health and inte...
Material characterization and discrimination is of interest for multiple applications, ranging from ...
Ebben a tanulmányban különböző anyagú tárgyak, mint objektumok, anyagszerkezeti felépítését vizsgálj...
The purpose of this paper is to assess the material characteristic by using vibration signal analysi...
This paper presents an experimental investigation of two different kinds of plates of materials name...
Material recognition is an essential problem in the industrial automation community. In this study, ...
This paper proposes an implementation of alternative statistical signal analysis method in character...
In the past twenty years, impulse excitation technique (IET) has become a widely diffused non-destru...
In the past twenty years, impulse excitation technique (IET) has become a widelydiffused non-destruc...
The present study deals with modal work that is a type of framework for structural dynamic testing o...
It is well known that material properties determined from the standard tests of small specimens, whi...
The current scenario of the industries is that the major losses in efficiency of a machine are due t...
Vibration-based damage detection methods are of great interest because of their global nature as com...
Early damage detection and classification by condition monitoring systems is crucial to enable predi...
This paper proposes an implementation of alternative statistical signal analysis method in character...
Structural Health Monitoring (SHM) and condition assessment deal with inspecting the health and inte...
Material characterization and discrimination is of interest for multiple applications, ranging from ...
Ebben a tanulmányban különböző anyagú tárgyak, mint objektumok, anyagszerkezeti felépítését vizsgálj...
The purpose of this paper is to assess the material characteristic by using vibration signal analysi...
This paper presents an experimental investigation of two different kinds of plates of materials name...
Material recognition is an essential problem in the industrial automation community. In this study, ...
This paper proposes an implementation of alternative statistical signal analysis method in character...
In the past twenty years, impulse excitation technique (IET) has become a widely diffused non-destru...
In the past twenty years, impulse excitation technique (IET) has become a widelydiffused non-destruc...
The present study deals with modal work that is a type of framework for structural dynamic testing o...
It is well known that material properties determined from the standard tests of small specimens, whi...
The current scenario of the industries is that the major losses in efficiency of a machine are due t...
Vibration-based damage detection methods are of great interest because of their global nature as com...
Early damage detection and classification by condition monitoring systems is crucial to enable predi...
This paper proposes an implementation of alternative statistical signal analysis method in character...
Structural Health Monitoring (SHM) and condition assessment deal with inspecting the health and inte...