Abstract: A novel approach to detect damage in stationary rotating systems excited by unbalance and stochastic forces is presented. The methodology is based solely on output time series measured at the bearings stations. The method deals with the application of auto-regressive models and statistical modeling for the linear prediction of damage diagnosis. The results showed that the approach is suitable for practical applications
In this paper, the model-based approach is introduced into rotation machinery fault detection to ach...
Damage detection as determined from changes in the vibration characteristics of a system has been a ...
In this study, a novel time series analysis methodology is used to detect, locate, and quantify stru...
ABSTRACT: Stated in its most basic form, the objective of damage diagnosis is to ascertain simply if...
A novel time series analysis is presented to locate damage sources in a mechanical system, which is ...
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...
In this study, a novel methodology based on time series analysis is developed to detect, locate and ...
The primary objective of damage detection is to ascertain with confidence if damage is present or no...
Critical components of a rotating machinery such as bearings and couplings are often subjected to un...
Abstract The primary objective of damage detection is to ascertain with confidence if damage is pres...
In this study, a novel approach using a modified time series analysis methodology is used to detect,...
In this article we analyze several vibration time series measured on a real fan test rig before and ...
This paper presents an application of statistical process control techniques for damage diagnosis us...
This study aims to develop general methodologies and implementation schemes to enhance the robustnes...
In this paper, the model-based approach is introduced into rotation machinery fault detection to ach...
Damage detection as determined from changes in the vibration characteristics of a system has been a ...
In this study, a novel time series analysis methodology is used to detect, locate, and quantify stru...
ABSTRACT: Stated in its most basic form, the objective of damage diagnosis is to ascertain simply if...
A novel time series analysis is presented to locate damage sources in a mechanical system, which is ...
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...
In this study, a novel methodology based on time series analysis is developed to detect, locate and ...
The primary objective of damage detection is to ascertain with confidence if damage is present or no...
Critical components of a rotating machinery such as bearings and couplings are often subjected to un...
Abstract The primary objective of damage detection is to ascertain with confidence if damage is pres...
In this study, a novel approach using a modified time series analysis methodology is used to detect,...
In this article we analyze several vibration time series measured on a real fan test rig before and ...
This paper presents an application of statistical process control techniques for damage diagnosis us...
This study aims to develop general methodologies and implementation schemes to enhance the robustnes...
In this paper, the model-based approach is introduced into rotation machinery fault detection to ach...
Damage detection as determined from changes in the vibration characteristics of a system has been a ...
In this study, a novel time series analysis methodology is used to detect, locate, and quantify stru...