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 122 for “"fault diagnosis"”.
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Real-time process plant fault diagnosis
Operators can become confused while diagnosing faults in process plant while in operation. This may prevent remedial actions being taken before hazardous consequences can occur. The work in this thesis proposes a method to aid plant operators in systematically finding the causes of any fault in the …
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Multiple Fault Diagnosis in Combinational Networks
Made available in DSpace on 2014-12-10T20:13:43Z (GMT). No. of bitstreams: 1 7511631.pdf: 3427675 bytes, checksum: 3534dc30f4998214c19be44818b22e1b (MD5) Previous issue date: 1974
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Fault diagnosis based on causal reasoning
… are described. HOIST is a system that performs fault diagnosis without the use of a domain expert or "shallow rules". Rather its "knowledge" is coded directly from a structural specification of the Mark 45 lower hoist. The technology reported here for assisting the lesser acquainted …
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Fault diagnosis in multivariate statistical process monitoring
… are different from the expected. The fault detection ability of methods such as principal component analysis (PCA) and process monitoring has been reported in literature and demonstrated in selective practical applications. However, the methodologies employed to diagnose the reason for …
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Computational intelligence for fault diagnosis in gearbox systems
… life of machines by revealing machine faults at the earlier stage. Damage in gearbox system is one of the most catastrophic failures in machineries. Any defects related to a gearbox will in influence the performance of an entire mechanical system. A reliable and efficient fault …
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Expert systems in A.C. induction motor fault diagnosis.
… for non-invasive, on-line monitoring and fault diagnosis of large induction motors. Human knowledge and experience has to be used in conjunction with these techniques in order to circumvent the problem of unavailable or uncertain data and to make judgement on the degree of severity of any …
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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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Simulation- and Deduction-Based Techniques for Fault Diagnosis
… of static and dynamic processing for the diagnosis of bridging faults in sequential circuits is presented. During diagnosis, the failing outputs from the test are used to adaptively determine the behavior of the bridge at each time-frame. Selective faulty state information is stored by …
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Estimation and fault diagnosis for vehicle energy systems
… which ignores coupling between subsystems. 2. Fault diagnosis: This dissertation proposes a robust system-perspective fault diagnosis framework for complex energy systems. Fault detection and isolation is derived from a set of structured residuals obtained from a bank of observers. Robustness …
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Fault diagnosis of process plants using causal models
Thesis (Sc. D.)--Massachusetts Institute of Technology, Dept. of Chemical Engineering, 1987.
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System level fault diagnosis by testable diagnosis array
… To ensure the correctness of system output, faults in the system must be detected, and faulty component(s) subsequently identified. To continue operation with degraded performance the system reconfigures with the remaining resources. This ideal fault tolerant capability hinges on the …
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Monitoring and Fault Diagnosis for Chylla-Haase Polymerization Reactor
… main objective of this research is to develop a fault detection and isolation (FDI) methodologies for Cylla-Haase polymerization reactor, and implement the developed methods to the nonlinear simulation model of the proposed reactor to evaluate the effectiveness of FDI methods. The first part of …
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Adaptive fault diagnosis in interactive electronic technical manuals (IETMs)
… thesis we present a methodology for adaptive fault diagnosis in IETMs, a methodology that constantly adapts the fault diagnosis procedure, according to the experience of the user performing the diagnosis. We develop a framework of adaptation that constantly monitors user behavior, and "learns" …
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Deep transfer-learning based lithium-ion battery fault diagnosis
Fault detection in lithium-ion batteries (LiB) is paramount to ensuring the long life and proper functioning of the batteries. To that end, this thesis proposes a combined fault diagnosis framework that leverages voltage charging curves and voltage charging curve fault residuals to accurately …
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FUZZY EXPERT SYSTEM FOR FAULT DIAGNOSIS OF POWER SYSTEMS
… the stability of power supply system, any fault section must be isolated quickly. Fault section identification is the first step of system restoration. It has also become a major area of research in the field of artificial intelligence application to power systems for many years. A fuzzy …
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Electrochemical Model Based Fault Diagnosis of Lithium Ion Battery
… based method offered an accurate and effective fault diagnosis of the battery conditions. This type of fault diagnosis, which is based on the models capturing true physics of the battery electrochemistry, can lead to a more accurate and robust battery fault diagnosis and help BMS take …
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Fault Diagnosis of Discrete Event Systems Under Sensor Attack
… sources of major disruptions, i.e., component faults and cyber attacks. A component fault is an indigenous activity that leads to the deviation of a system from its normal or intended behavior, which typically generates safety and performance concerns. In both academia and industry, fault …
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Distributed reconfiguration and fault diagnosis in cellular processing arrays
… hierarchical reconfiguration scheme for a fault-tolerant two-dimensional cellular architecture is presented, wherein an array of finite state machine cells controls the processing and switching elements. This allows the array to either reconfigure in the presence of faults, or to perform …
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