Search
Now showing items 11-20 of 36
Sensor Fault Detection, Isolation, and Identification Using Multiple-Model-Based Hybrid Kalman Filter for Gas Turbine Engines
(
Institute of Electrical and Electronics Engineers Inc.
, 2016 , Article)
In this paper, a novel sensor fault detection, isolation, and identification (FDII) strategy is proposed using the multiple-model (MM) approach. The scheme is based on multiple hybrid Kalman filters (MHKFs), which represents ...
Robust sensor fault detection and isolation of gas turbine engines subjected to time-varying parameter uncertainties
(
Academic Press
, 2016 , Article)
In this paper, a novel robust sensor fault detection and isolation (FDI) strategy using the multiple model-based (MM) approach is proposed that remains robust with respect to both time-varying parameter uncertainties and ...
Event-triggered fault detection for discrete-time linear multi-agent systems
(
Institute of Electrical and Electronics Engineers Inc.
, 2016 , Conference Paper)
This paper studies the design and development of event-triggered fault detection (FD) filters for discrete-time linear multi-agent systems. For each agent, an FD filter is designed that receives the output measurements ...
A directional protection technique for MTDC networks
(
Institute of Electrical and Electronics Engineers Inc.
, 2015 , Conference Paper)
This paper suggests a new protection algorithm for a multi-terminal direct current (MTDC) networks. The current values and directions at each bus connecting more than one line are determined. The measured values of line ...
Bidirectional buck-boost inverter-based HVDC transmission system with AC-side contribution blocking capability during DC-side faults
(
Institute of Electrical and Electronics Engineers Inc.
, 2014 , Article)
Offshore wind energy is now seen as a key contributor for the future renewable energy mix. HVDC technology is among the chief technologies enabling widespread use of offshore wind. Thanks to their numerous advantages, ...
Fault detection and isolation of two-dimensional (2D) systems
(
Elsevier B.V.
, 2017 , Article)
In this work, we develop a novel fault detection and isolation (FDI) scheme for discrete-time two-dimensional (2D) systems that are represented by the Fornasini?Marchesini model II (FMII). This is accomplished by generalizing ...
Adaptive sliding mode observer for sensor fault diagnosis of an industrial gas turbine
(
Elsevier Ltd
, 2015 , Article)
Sensors are one of the crucial components in gas turbines and the failure in sensor measurements can lead to serious problems in maintaining their safety and performance requirements. Our aim in this paper is to develop ...
Event-triggered fault detection for discrete-time linear systems
(
Institute of Electrical and Electronics Engineers Inc.
, 2015 , Conference Paper)
In this paper the problem of event-triggered fault detection filter for discrete-time linear systems is considered and a multi-objective formulation of the problem is presented based on H, H- and generalized H2 performance ...
Sensor fault detection and isolation using multiple robust filters for linear systems with time-varying parameter uncertainty and error variance constraints
(
Institute of Electrical and Electronics Engineers Inc.
, 2014 , Conference Paper)
In this paper, a robust sensor fault detection and isolation (FDI) strategy is proposed by means of the multiple model (MM)-based scheme. The proposed approach is composed of robust Kalman filters (RKF) with error variance ...
Nonlinear fault diagnosis of jet engines by using a multiple model-based approach
(
ASME 2011 Turbo Expo: Turbine Technical Conference and Exposition, GT2011
, 2011 , Conference Paper)
In this paper, a nonlinear fault detection and isolation (FDI) scheme that is based on the concept of multiple model (MM) approach is proposed for jet engines. A modular and a hierarchical architecture is proposed which ...