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 23 for “"Fault Identification"”.
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Untestable Fault Identification Using Implications
Untestable faults in circuits are defects/faults for which there exists no test pattern that can either excite the fault or propagate the fault effect to an observable point, which could be either a Primary output (PO) or a scan flip-flop. The current state-of-the-art automatic test pattern …
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Software fault identification via dynamic analysis and machine learning
… of run-time program properties known to expose faults, and applies these models to program properties of user-written code to classify and rank properties that may lead the user to errors. I evaluate an implementation of the technique, the Fault Invariant Classifier, that demonstrates the …
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Coding Techniques for Linear Block Codes With Applications to Fault Identification
When channel reliability information is available, soft-decision decoding becomes attractive for many applications, since maximum-likelihood (ML) soft-decision decoding offers (roughly) 3 dB additional gain over algebraic decoding. Since ML soft-decision decoding is an NP-hard problem, we …
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Component and fault identification in a machine structure using an acoustic signal
Thesis: Sc. D., Massachusetts Institute of Technology, Department of Mechanical Engineering, 1980
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Fault Identification of UPFC-Compensated Transmission Lines in Complex Microgrids Using an Intelligent Relaying Scheme Based on Discrete Wavelet Transform and ANN Classifier
… hence, the protection task is complicated during fault occurrences. The fault data is highly nonlinear and nonstationary, making a conventional distance relay dysfunctional. To fix this, many researchers have used signal processing and soft computing techniques. However, previous works are …
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Development of a novel single-phase auto-reclosing scheme for distribution network with integrated distributed generation.
… generators (DGs) immediately once a network fault is detected to prevent islanding operation and disruption of the operation of conventional auto-reclosing schemes. However, with the continuous increase of penetration of DGs into existing distribution networks, it is becoming increasingly …
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Modern Adaptive Protection and Control Techniques for Enhancing Distribution Grid Resiliency
… or Loss of Mains(LOM) detection and general fault identification and isolation. Adaptive protection schemes are needed to properly resolve these issues. Although, previous works in this field have dealt with this situation, a more comprehensive approach needs to be taken considering multiple …
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Competitive Usability Studies of Virtual Environments for Shipbuilding
… designed and executed to measure navigation, fault identification/repair, and spatial awareness through a sequence of choices and to provide user preference of one GUI paradigm over another functionally similar paradigm. This study, performed on a ship design application, included an analysis …
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Fault Detection and Diagnosis for Large -Scale Systems
… industrial processes and their effectiveness for fault detection is well-recognized. There is an inherent limitation on the ability for data-driven techniques to identify and diagnose faults, especially when the abnormal situations are associated with unknown faults and multiple faults. To improve …
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Towards automated remote inspection of anomalies in offshore components.
… of an anomaly detection model to enhance fault identification; the implementation of a human-in-the-loop system for improved model accuracy and reliability; and a comprehensive evaluation of these models' real-world applicability. The study not only showcases cutting-edge deep learning …
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Characterizing software components using evolutionary testing and path-guided analysis
… areas of software engineering, such as error/fault identification, data mining, and software cost estimation. Previous research has also applied ET techniques to performance testing. Its application to performance testing, however, only goes as far as finding the best and worst case, execution …
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Application of Kalman Filtering to Real-time Flight Regime Recognition Algorithms in a Helicopter Health and Usage Monitoring System
… transitions between flight regimes. Rotor fault identification, a technique that is somewhat similar to flight regime recognition, successfully used Kalman filters to determine fault types and damage locations. Recently developed FRR algorithms successfully applied Hidden Markov Models, …
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Fast Static Learning and Inductive Reasoning with Applications to ATPG Problems
… the invariants are utilized for untestable fault identification and to constrain ATPG for path delay fault testing, with positive results.
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Real-Time Thermography for In Operando Additive Manufacturing Defect Mitigation using a Machine Learning Approach
… are compromised by these imperfections. Defect identification, especially porosity, has conventionally depended on non-destructive testing methods like X-ray and computed tomography (CT) imaging. While process improvement and post-processing can reduce flaws, total eradication is seldom …
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GNSS Integrity Monitoring with Modelling Temporal Correlated Measurement Noise and an Application to RTK
… noises in standard KF, an algorithm of enhanced fault detection and exclusion is developed and investigated. This study examined and analyzed the CKF-based fault detection test, a fault identification test, a minimum detectable bias (MDB), error distribution, and positioning results. The …
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Evaluation of a fuzzy-expert system for fault diagnosis in power systems
A major problem with alarm processing and fault diagnosis in power systems is the reliance on the circuit alarm status. If there is too much information available and the time of arrival of the information is random due to weather conditions etc., the alarm activity is not easily interpreted by …
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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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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-Tolerant Control of Unmanned Underwater Vehicles
… unknown environment. It is necessary to embed fault-tolerant control paradigms into UUVs to increase the reliability of the vehicles and enable them to execute and finalize complex missions. Specifically, fault-tolerant control (FTC) comprises fault detection, identification, and control …
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Static Learning for Problems in VLSI Test and Verification
… including: test-pattern-generation, logic and fault simulation, fault diagnosis, logic optimization, etc. While logic implications have assisted in solving several EDA problems, their usefulness has not been fully explored. We believe that logic implications have not been carefully analyzed in …
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