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Skip to Search Results- 5Control systems
- 4Alarm management
- 4System identification
- 2Fault detection
- 1Affine-in-control model
- 1Alarm flood
- 1Ahmed, Kabir
- 1Ahmed, Salman
- 1Alinezhad, Haniyeh Seyed
- 1Cheng, Yue
- 1Dyck, Matthew D.
- 1McDonald, Geoffrey Lyall
- 2Chen, Tongwen (Electrical and Computer Engineering)
- 1Biao Huang (Chemical and Materials Engineering)
- 1Chen, Tongwen (Electrical Engineering)
- 1Chen, Tonwen (Electrical and Computer Engineering)
- 1Dr. Tongwen Chen (Electrical and Computer Engineering)
- 1Fahimi, Farbod (Mechanical and Aerospace Engineering, University of Alabama in Huntsville)
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Fall 2023
Monitoring industrial processes is essential to maintain efficient and safe operation. An alarm system is an imperative component of industrial process monitoring, as it alerts operators to abnormal conditions. Alarms indicate when the process is disrupted, which allows operators to react...
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Spring 2011
Receiving false and nuisance alarms is a well known problem in industrial alarm systems. The main cause of this problem is poor alarm design which is the result of huge number of configured alarms and lack of automatic and analytical design methods. This study targets deriving analytical methods...
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Spring 2021
Monitoring systems are indispensable parts of industries that are responsible to guarantee the safe and proficient operation of plants. As a part of monitoring systems, alarm management systems are deployed to prevent damage to components, and improve safety and quality of products. The main...
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Control-Oriented Modeling and System Identification for Nonlinear Trajectory Tracking Control of a Small-Scale Unmanned Helicopter
DownloadSpring 2014
Model-based control design of small-scale helicopters involves considerable challenges due to their nonlinear and underactuated dynamics with strong couplings between the different degrees-of-freedom (DOFs). Most nonlinear model-based multi-input multi-output (MIMO) control approaches require the...
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Fall 2013
To meet the demands of safety, quality and efficiency, process monitoring is of great importance. However, a serious problem exists in the industry: too many alarms are raised for operators to handle. Consequently, techniques need to be developed in order to reduce nuisance and false alarms to an...
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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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Spring 2011
Optimal experiment design has been considered as an effective tool to improve model reliability and accuracy in nonlinear system identification in the past few decades. This thesis is concerned with the following challenges which have not been previously addressed: poor initial guess problem of...
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Fall 2013
This thesis presents techniques to measure the human arm's mechanical impedance using a rehabilitation robot, drawing applications to telerehabilitation and patient motor function assessment. Conventional teleoperation system stability analysis and control assumes the human operator remains...
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Fall 2011
Alarm floods are a crucial problem in the process industry. An alarm flood makes it difficult for an operator to react and take necessary actions, which often can lead to risking an emergency shutdown or a major upset. In many cases, alarm floods are caused by interrelated process variables,...