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Now showing items 111-120 of 140
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 ...
Application of genetic algorithm in selection of dominant input variables in sensor fault diagnosis of nonlinear systems
(
2013 IEEE International Conference on Prognostics and Health Management, PHM 2013
, 2013 , Conference Paper)
Industrial processes rely heavily on information provided by sensors. Reliability of sensor data is vital to assure an acceptable performance of these complex and nonlinear processes. In this paper, the analytical redundancy ...
Sensor fault detection and isolation of an industrial gas turbine using partial kernel PCA
(
9th IFAC Symposium on Fault Detection, Supervision and Safety for Technical Processes, SAFEPROCESS 2015
, 2015 , Conference Paper)
In this paper, partial kernel principal component analysis (PKPCA) is studied for sensor fault detection and isolation of an aeroderivative industrial gas turbine. Principal component analysis (PCA) is an effective tool ...
Distributed Fast Fault Detection in DC Microgrids
(
Institute of Electrical and Electronics Engineers Inc.
, 2020 , Article)
The problem of distributed fast fault detection for a direct current (dc) microgrid that is composed of multiple interconnected distributed generation units (DGUs) is addressed in this article. A local fault detector is ...
Sensor Fault Detection and Isolation via Networked Estimation: Full-Rank Dynamical Systems
(
Institute of Electrical and Electronics Engineers Inc.
, 2020 , Article)
This paper considers the problem of simultaneous sensor fault detection, isolation, and networked estimation of linear full-rank dynamical systems. The proposed networked estimation is a variant of single time-scale protocol ...
Actuator Fault Diagnosis in Multi-Zone HVAC Systems using 2D Convolutional Neural Networks
(
Institute of Electrical and Electronics Engineers Inc.
, 2020 , Conference Paper)
This paper presents a novel supervised on-line fault diagnosis strategy in Heating, Ventilation, and Air conditioning (HVAC) systems for actuator faults using 2D Convolutional Neural Networks. It is based on an efficient ...
A comprehensive review of the cyber-attacks and cyber-security on load frequency control of power systems
(
MDPI AG
, 2020 , Article Review)
Power systems are complex systems that have great importance to socio-economic development due to the fact that the entire world relies on the electric network power supply for day-to-day life. Therefore, for the stable ...
Hybrid attack detection framework for industrial control systems using 1D-convolutional neural network and isolation forest
(
Institute of Electrical and Electronics Engineers Inc.
, 2020 , Conference Paper)
Industrial control systems (ICSs) are used in various infrastructures and industrial plants for realizing their control operation and ensuring their safety. Concerns about the cybersecurity of industrial control systems ...
Linear parameter-varying control of a copolymerization reactor
(
Elsevier B.V.
, 2015 , Conference Paper)
This paper demonstrates the application of the linear parameter-varying (LPV) framework to control a copolymerization reactor. An LPV model representation is first developed for a nonlinear model of the process. The LPV ...
Determination of Security Index for Linear Cyber-Physical Systems Subject to Malicious Cyber Attacks
(
Institute of Electrical and Electronics Engineers Inc.
, 2019 , Conference Paper)
In this paper, we are mainly concerned with formulation and computation of security indices for linear cyber-physical systems (CPS), where both input and output channels are subjected to malicious cyber attacks. The ...