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A hybrid prognosis and health monitoring strategy by integrating particle filters and neural networks for gas turbine engines
(
Institute of Electrical and Electronics Engineers Inc.
, 2015 , Conference Paper)
In this paper, a novel hybrid structure is proposed for the development of health monitoring techniques of nonlinear systems by integration of model-based and computationally intelligent and data-driven techniques. In our ...
Multiple sensor fault diagnosis for non-linear and dynamic system by evolving approach
(
2012 3rd Annual IEEE Prognostics and System Health Management Conference, PHM-2012
, 2012 , Conference Paper)
Reliability of sensor measurement is vital to assure the performance of complex and nonlinear industrial operation. In this paper, the problem of designing and development of a data-driven multiple sensor fault detection ...
Self-organizing maps for structural damage detection: A novel unsupervised vibration-based algorithm
(
American Society of Civil Engineers (ASCE)
, 2016 , Article)
The study presented in this paper is arguably the first study to use a self-organizing map (SOM) for global structural damage detection. A novel unsupervised vibration-based damage detection algorithm is introduced using ...
Parameter estimation of biological phenomena: An unscented kalman filter approach
(
IEEE
, 2013 , Article)
Recent advances in high-throughput technologies for biological data acquisition have spurred a broad interest in the construction of mathematical models for biological phenomena. The development of such mathematical models ...
Joint routing and resource allocation for delay minimization in cognitive radio based mesh networks
(
IEEE
, 2014 , Article)
This paper studies the joint design of routing and resource allocation algorithms in cognitive radio based wireless mesh networks. The mesh nodes utilize cognitive overlay mode to share the spectrum with primary users. ...
Optimization of 3D network topology for bioinspired design of stiff and lightweight bone-like structures
(
Elsevier Ltd
, 2021 , Article)
A truly bioinspired approach to design optimization should follow the energetically favorable natural paradigm of ?minimum inventory with maximum diversity?. This study was inspired by constructive regression of trabecular ...
Centralized-decentralized RB allocation based on genetic algorithm and coordination over X2 interface in LTE uplink
(
VDE Verlag GmbH
, 2015 , Conference Paper)
In this paper, we present a method for resource block allocation for the LTE uplink system. It aims to minimize the inter-cell interference and maximize the channel capacity. The genetic algorithm is used to come up with ...
Optimum power and rate allocation in video sensor networks
(
Institute of Electrical and Electronics Engineers Inc.
, 2013 , Conference Paper)
In a sensor network, each sensor has a limited energy supply. Therefore, it is critical to minimize the power consumed by each sensor to maximize its lifetime. Video sensor networks differ from conventional sensor networks ...
An Empirical Study for PCA- and LDA-Based Feature Reduction for Gas Identification
(
Institute of Electrical and Electronics Engineers Inc.
, 2016 , Article)
Increasing the number of sensors in a gas identification system generally improves its performance as this will add extra features for analysis. However, this affects the computational complexity, especially if the ...
FPGA Implementation of Orthogonal Matching Pursuit for Compressive Sensing Reconstruction
(
Institute of Electrical and Electronics Engineers Inc.
, 2015 , Article)
In this paper, we present a novel architecture based on field-programmable gate arrays (FPGAs) for the reconstruction of compressively sensed signal using the orthogonal matching pursuit (OMP) algorithm. We have analyzed ...