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Spring 2017

Li, Gang

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...

Spring 2021

Mohammad Hossein Roohi

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...

Spring 2013

Yang, Shuonan

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,...

Spring 2012

Mostafavi, Somayeh

This thesis is concerned with fault detection of sampled data systems with special emphasis on the time varying characteristics of the system. A discretization method based on the norm invariant transformation is proposed for time invariant systems with aperiodic sampler and time varying systems...

Spring 2015

Smith, Brendan S

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...

Fall 2013

Adnan, Naseeb A

In process plants, alarms are configured to notify operators of any abnormalities or faults. However, in practice a majority of raised alarms are false or nuisance and create problems for operators as they face an increasing number of alarms to handle. In the past, many catastrophic incidents...

Fall 2011

McDonald, Geoffrey Lyall

Fault detection in rotating machinery has applications in fields such as wind turbines and helicopter transmissions. Detecting and diagnosing faults is important to maintenance planning, preventing equipment damage, and preventing failure. During this presentation, two novel signal-based methods...