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Skip to Search Results- 3Fault detection
- 1Adaptive
- 1Adaptive two-stage Kalman filter
- 1Artificial intelligence
- 1Clock synchronization
- 1Communication Channel Equalization
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Spring 2017
Adaptive approaches for model-based fault detection, diagnosis and control are the focus of this research. Both analytical and data-driven model-based techniques are studied along with the investigation of their practical applications. This thesis is organized in two parts. In Part I, adaptive...
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Fall 2021
As a key infrastructure of constructing the Internet of Things, wireless sensor networks (WSNs) have attracted plenty of research interest. It is expected to be widely applied in almost every aspect of future life. Nowadays, some preliminary applications and prototypes have emerged in various...
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Fall 2009
Electrical machine condition monitoring plays an important role in modern industries. Instead of allowing the machines to run until failure, it is preferred to gather more information about the machine condition before the machine is shut down, so that the machine downtime can be reduced due to...
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Spring 2014
A wireless sensor network (WSN) consists of spatially distributed sensor nodes which are deployed to monitor some process of interest. Although WSNs are very promising, the distributed nature, attributes of wireless networks, and availability of limited resources in WSNs introduce significant...
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Fall 2021
Motion control of multirotor Unmanned Aerial Vehicles (UAV) is an area of research which continues to generate significant interest in the community. Being able to accurately follow a broad class of trajectories clearly improves the mission capabilities of the vehicle. Model uncertainty and...
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Spring 2013
This thesis develops fault detection characterization, design, and reliability analysis within a real-time, multilayered fault detection and diagnosis (FDD) framework proposed according to fault tolerant control systems (FTCS). With the development of sophisticated control and monitoring systems,...
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Fall 2024
Pose estimation is widely used in our daily lives and there exist many algorithms that are applied for bringing convenience and improving efficiency in various fields. While images are the most common input for feature detection and matching, it is necessary to study their knowledge background...
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Spring 2015
Fault detection methods have become an important tool in the prevention of safety and reliability issues for industrial rotating machines. Faults in these machines often develop progressively and are not easily observed under operating conditions until severe damage has occurred and further...
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Spring 2024
With the growing demand for online applications such as high-resolution video streaming and cloud gaming, there is an urgent need for high-throughput and low-latency technologies. The Remote Direct Memory Access (RDMA) over Converged Ethernet Version 2 (RoCEv2) network protocol is increasingly...
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Fall 2017
In this research, state and imbalance fault estimation of a simple rotor-bearing system using Kalman filtering techniques has been investigated. The motion of a simple rotor- bearing system can be described by a set of coupled partial differential equations (PDEs); approximative equations of the...