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 11 of 11 for “"Fault diagnostics"”.
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The NILM Dashboard : watchstanding and real-time fault detection using Non-intrusive Load Monitoring
… that provides real-time machinery monitoring and fault diagnostics using NILM data. The Dashboard was developed and deployed for use onboard US Coast Guard Cutters to act as an automatic watchstander and condition-based maintenance aid. The effectiveness of the system is demonstrated on power data …
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Framework of non-intrusive load monitoring for shipboard environments
… real-time energy management and equipment diagnostics. Results are presented from NILM systems installed aboard two US Coast Guard ships. The collected data is used for fault diagnostics and condition-based monitoring of mission-critical systems. A NILM system requires a complex software …
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A secure multi-layer embedded framework for real-time fault detection in Industrial IoT power supply systems
… integrates deterministic protection, embedded diagnostics, and authenticated remote monitoring within a unified architecture. The platform combines real-time hard-fault protection with quantized neural network (QNN)-based soft-fault diagnostics executed on a microcontroller-class device, …
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Rapid remaining-useful-life prediction of Li-ion batteries using image-based machine learning
… have a wide range of applications, from fault diagnostics, state-of-charge, and state-of-health prediction, to other, more complex, regression applications.
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Prognostic Algorithms for Condition Monitoring and Remaining Useful Life Estimation
… review of previous approaches and techniques in fault diagnostics and prognostics is presented. The development of a condition monitoring system for dry vacuum pumps used in semi- conductor manufacturing is presented. A notable feature is that upstream process mea- surements from the wafer …
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Strategies for Removing Non-stationary Effects in Machine Diagnostics using Model-driven and Artificial Intelligence Techniques
Condition-based health diagnostics of critical machine elements like planetary gears and bearings via processing of measured vibration signals play an important role in improving the reliability of industrial machines. Gear and bearing faults can be diagnosed using different frequency and …
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Inferential measurement for integrity and security of cyber-physical systems.
… inferential measurement system, which includes a fault diagnostics model for identifying the root causes of faults, a soft sensing model for predicting hard-to-measure variables, and a security framework to safeguard the sensors and Internet of Things network. There are two main techniques for …
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Utilizing the connected power electronic converter for improved condition monitoring of induction motors and claw-pole generators
… generators, they also significantly alter the fault behavior of these electric machines and complicate the fault detection and protection. In this dissertation, special characteristics of the connected closed-loop inverter and rectifier have been thoroughly analyzed, with particular interest in …
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Computational aspects of on-line machine monitoring.
The detection of the fault phenomena found on three phase induction motors, as widely used in industry, from an electrical engineering viewpoint has been investigated. Various transducers are used, on a real motor, to establish connections between known fault and measurable changes in the signals …
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Fault detection and diagnostics of an HVAC sub-system using adaptive resonance theory neural networks
… it. Therefore, the present work explores fault detection and diagnostics (FDD) of an HVAC sub-system, in particular an air handling unit (AHU), through the evaluation of various methods. The detection methods include a controls alarm threshold, rule-based expressions, regression, one-class …
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Electric Machine Differential For Vehicle Traction Control And Stability Control
… train is critical. Therefore, sophisticated fault detection schemes are essential in guaranteeing reliable operation of a complex system such as an EMD. The research presented here emphasize on implementation of a 4kW electric machine differential, a novel single open phase fault diagnostic …