The paper considers some possibilities to use pure time series analysis for damage diagnosis in vibrating structures. It introduces the basics of the state space methodology and discusses a number of possible methods to extract damage sensitive features from the state space representation of the attractor of a vibrating system. The discussed methods can be divided into two groups: methods that use non-linear dynamics characteristics and methods based on the statistical characteristics of the distribution of points on the attractor. Each possible damage feature is introduced separately and the advantages and shortfalls of its application are discussed. The application of the suggested techniques is demonstrated on a test case of a reinforced...
In this study, a novel approach using a modified time series analysis methodology is used to detect ...
This study suggests the use of the probability density of points on the attractor of a dynamic syste...
In this study, a novel approach using a modified time series analysis methodology is used to detect ...
The paper considers some possibilities to use pure time series analysis for damage diagnosis in vibr...
The paper considers some possibilities to use pure time series analysis for damage diagnosis in vibr...
This paper deals with the problem for vibration health monitoring (VHM) in structures with nonlinear...
This paper discusses the application of state-space representation of the structural vibration respo...
This paper discusses the application of state-space representation of the structural vibration respo...
This study aims to develop general methodologies and implementation schemes to enhance the robustnes...
This study aims at the development of vibration-based health monitoring (VHM) methodology for thin c...
For preserving existing structures to the extent possible, vibration-based damage detection techniqu...
Structural health monitoring (SHM) is a vast, interdisciplinary research field whose literature span...
In this study, a novel methodology based on time series analysis is developed to detect, locate and ...
This study proposes a method of detecting, locating, and quantifying structural damage by directly u...
This investigation addresses the problem of damage assessment in mechanical and civil engineering st...
In this study, a novel approach using a modified time series analysis methodology is used to detect ...
This study suggests the use of the probability density of points on the attractor of a dynamic syste...
In this study, a novel approach using a modified time series analysis methodology is used to detect ...
The paper considers some possibilities to use pure time series analysis for damage diagnosis in vibr...
The paper considers some possibilities to use pure time series analysis for damage diagnosis in vibr...
This paper deals with the problem for vibration health monitoring (VHM) in structures with nonlinear...
This paper discusses the application of state-space representation of the structural vibration respo...
This paper discusses the application of state-space representation of the structural vibration respo...
This study aims to develop general methodologies and implementation schemes to enhance the robustnes...
This study aims at the development of vibration-based health monitoring (VHM) methodology for thin c...
For preserving existing structures to the extent possible, vibration-based damage detection techniqu...
Structural health monitoring (SHM) is a vast, interdisciplinary research field whose literature span...
In this study, a novel methodology based on time series analysis is developed to detect, locate and ...
This study proposes a method of detecting, locating, and quantifying structural damage by directly u...
This investigation addresses the problem of damage assessment in mechanical and civil engineering st...
In this study, a novel approach using a modified time series analysis methodology is used to detect ...
This study suggests the use of the probability density of points on the attractor of a dynamic syste...
In this study, a novel approach using a modified time series analysis methodology is used to detect ...