Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 20 of 26 for “"Fault Detection and Diagnosis"”.
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Investigation into fault detection and diagnosis techniques
The early detection and diagnosis of faults in systems is one of the most important tasks assigned to the computers supervising these systems. The early indication of abrupt or incipient failures can assist in avoiding major system breakdowns and catastrophes, which could otherwise result in …
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Fault detection and diagnosis : application in microelectromechanical systems
This thesis presents the development of a fault detection and diagnosis (FDD) procedure capable of capturing, isolating and identifying multiple abrupt parametric faults. The proposed method relies on parameter estimation deployed in a set membership framework. This approach presupposes the …
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Fault Detection and Diagnosis for Large -Scale Systems
… increasing the safety of plant operations, and reducing manufacturing costs. Data-driven techniques based on multivariate statistics such as principal component analysis and partial least squares have been applied in many industrial processes and their effectiveness for fault detection is …
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Operational industrial fault detection and diagnosis: railway actuator case studies
… required to operate with a high level of safety and reliability. The weakest components are those which have the highest safety requirements and the lowest inherent reliability. Single-throw mechanical actuators, such as powered train doors, trainstops, level crossing barriers and switch …
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Automated wavelet-based fault detection and diagnosis for smart distribution systems and microgrids
… energy resources, energy storage systems and loads. In addition, the Micro-Grid system can operate in two modes, grid-connected or non-grid-connected (i.e., islanded mode). The protection of the Micro-Grid system represents one of the major operational challenges, in particular when …
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Fault Detection And Diagnosis For Air Conditioners And Heat Pumps Based On Virtual Sensors
… primary goal of this research is to develop and demonstrate an integrated, on-line performance monitoring and diagnostic system with low cost sensors for air conditioning and heat pump equipment. Automated fault detection and diagnostics (FDD) has the potential for improving energy efficiency …
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A generic fault detection and diagnosis approach for pneumatic and electric driven railway assets
… to cause significant delay to rail services, and may even place the system into an unsafe state. A generic fault detection and diagnosis (FDD) solution for a number of railway assets of different types is therefore desired. In this thesis, five assets, namely the pneumatic train door, point …
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Model-based fault detection and diagnosis of selective catalytic reduction systems for diesel engines
… sensors are required to be installed at upstream and downstream of the SCR. As a result, the reduction efficiency is also required to be monitored by the On-Board Diagnostics (OBD) regulations. Specifically, a diagnostic algorithm is required to detect and isolate the SCR system faults that may …
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Applied change of mean detection techniques for HVAC fault detection and diagnosis and power monitoring
A signal processing technique, the detection of abrupt changes in a time-series signal, is implemented with two different applications related to energy use in buildings. The first application is a signal pre-processor for an advanced electric power monitor, the Nonintrusive Load Monitor (NILM), …
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On-line fault diagnosis of industrial processes based on artificial intelligence techniques
… techniques for on-line process control and fault detection and diagnosis are investigated. The majority of the research is on using artificial intelligence techniques in on-line fault detection and diagnosis of industrial processes. Several on-line approaches, including a rule based …
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Detection and diagnosis of faults and energy monitoring of HVAC systems with least-intrusive power analysis
Faults indicate degradation or sudden failure of equipment in a system. Widely existing in heating, ventilating, and air conditioning (HVAC) systems, faults always lead to inefficient energy consumption, undesirable indoor air conditions, and even damage to the mechanical components. Continuous …
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Remote monitoring and fault diagnosis of an industrial machine through sensor fusion
Fault detection and diagnosis is quite important in engineering systems, and deserves further attention in view of the increasing complexity of modern machinery. Traditional single-sensor methods of fault monitoring and diagnosis may find it difficult to meet modern industrial requirements because …
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Aircraft System Identification Approach for Control Surface Fault Diagnosis
Modern fault detection and diagnosis (FDD) methods are critical to maintaining flight vehicle safety. This thesis presents a model-based FDD approach for identifying control-surface loss of effectiveness on a small, fixed-wing research aircraft. The work considers several real-time system …
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Fault-Tolerant Control and Fault-Diagnosis Design for Over-Actuated Systems with Applications to Electric Ground Vehicles
This dissertation addresses the fault-tolerant (FT) control and fault detection and diagnosis (FDD) problems for certain over-actuated systems with applications to electric ground vehicles. Two different control effort grouping methods are proposed to transfer the over-actuated system model to a …
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Unknown input observer approaches to robust fault diagnosis
… focuses on the development of the model-based fault detection and isolation /fault detection and diagnosis (FDI/FDD) techniques using the unknown input observer (UIO) methodology. Using the UI de-coupling philosophy to tackle the robustness issue, a set of novel fault estimation (FE)-oriented …
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Opacity Of Discrete Event Systems: Analysis And Control
… Opacity is a property to investigate security and</p> <p>privacy problems in such systems. Opacity characterizes whether a secret information</p> <p>of a system can be inferred by an unauthorized user. One approach to verify security</p> <p>and privacy properties using opacity problem is to …
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Intelligent fault diagnosis of gearboxes and its applications on wind turbines
The development of condition monitoring and fault diagnosis systems for wind turbines has received considerable attention in recent years. With wind playing an increasing part in Canada’s electricity demand from renewable resources, installations of new wind turbines are experiencing significant …
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Monitoring and anomaly detection in solar thermal systems using adaptive resonance theory neural networks
… as when a system loses fluid in the solar loop and the pump runs dry, eventually destroying itself. In recent years there has been an increasing demand for SHW systems to become economic and reliable. Fault Detection and Diagnosis (FDD) in SHW systems is an important part of maintaining proper …
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Active fault-tolerant control of nonlinear systems with wind turbine application
… concerns the theoretical development of Active Fault-Tolerant Control (AFTC) methods for nonlinear system via T-S multiple-modelling approach. The thesis adopted the estimation and compensation approach to AFTC within a tracking control framework. In this framework, the thesis considers several …
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Distributed on-line safety monitor based on safety assessment model and multi-agent system
On-line safety monitoring, i.e. the tasks of fault detection and diagnosis, alarm annunciation, and fault controlling, is essential in the operational phase of critical systems. Over the last 30 years, considerable work in this area has resulted in approaches that exploit models of the normal …
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