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 71 for “"Prognostics"”.
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Distributed Collaborative Prognostics
… This new approach, Distributed Collaborative Prognostics, consists of providing each machine with its own particular agent, that enables it to communicate with other similar machines in order to improve its failure predictions. This thesis implements Distributed Collaborative Prognostics in …
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Oncogenic Pathways and Molecular Prognostics in Neuroblastoma
Neuroblastoma is an embryonal malignancy that accounts for 15% of all cancer related deaths amongst children. Although the overall survival of patients has been improving over the last decades, the high-risk neuroblastoma patients have a survival rate of <50%. Using gene expression microarrays we …
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Prognostics and health management for multi-component systems
… in nature. This thesis is concerned with the prognostics and health management (PHM) of such complex multi-component systems, whereby signal processing and health indicator extraction, diagnostics, prognostics and maintenance decision making in light of present stochastic and economic …
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Prognostics and health management of light emitting diodes
Prognostics is an engineering process of diagnosing, predicting the remaining useful life and estimating the reliability of systems and products. Prognostics and Health Management (PHM) has emerged in the last decade as one of the most efficient approaches in failure prevention, reliability …
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STATISTICAL MODELS AND INFERENCE FOR LI-ION BATTERY PROGNOSTICS
Developing prognostics and health management methods for Li-ion batteries has received increasing attention in recent years. This thesis proposes three statistical models and inference for the Li-ion battery prognostics based on the easy to measure operational profiles. The three models include a …
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Data-driven models for reliability prognostics of gas turbines
… and applies inference techniques for reliability prognostics. The models focus on capturing feature signals (continuous state) and operating modes (discrete state) that are representative of the remaining useful life of the solid welded rotor. The first model derives its structure from a …
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NiMH battery forensics: Instrumentation, modelling and prognostics for identifying failure
Battery forensics is a growing research field that is becoming increasingly important with the introduction of hybrid-electric and electric vehicles. The need to correctly diagnose battery condition and predict signs of early failure is well recognised. Many presently used techniques are only …
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Machine learning approaches for prognostics and design of energy systems
Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2026-05-01
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Monitoring and Prognostics for Broaching Processes by Integrating Process Knowledge
… data are available for process monitoring and prognostics in manufacturing systems. In a broaching process, a multi-toothed broaching tool removes material from the workpiece by sequential engagement and disengagement of multiple cutting edges. The quality of the final part, including the …
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Data analytics for stochastic control and prognostics in cyber-physical systems
"In this dissertation, several novel cyber fault diagnosis and prognosis and defense methodologies for cyber-physical systems have been proposed. First, a novel routing scheme for wireless mesh network is proposed. An effective capacity estimation for P2P and E2E path is designed to guarantee the …
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Modeling Behaviour of Damaged Turbine Blades for Engine Health Diagnostics and Prognostics
The reliability of modern gas turbine engines is largely due to careful damage tolerant design a method of structural design based on the assumption that flaws (cracks) exist in any structure and will continue to grow with usage. With proper monitoring, largely in the form of periodic inspections …
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Energy efficient wireless sensor network protocols for monitoring and prognostics of large scale systems
… sensor networks (WSN) with applications to prognostics are investigated. Both analytical methods and verification are shown for the proposed methods via either hardware experiments or simulation. This work is presented in five papers. Energy-efficiency methods for WSN include distributed …
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A Study of Mathematical Modeling of Remaining Useful Life, Assessment, and Prognostics & Health Management (PHM)
<p>This research centers on mathematical modeling of remaining useful life (RUL) and its assessment of a device or system. Remaining useful life has always been an essential part of reliability theory. It has also been equally important in various other fields such as actuarial science, engineering …
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Image-Based Morphological Modeling of Soft and Bony Tissue with Applications in Prognostics and Medical Device Design
Improvements in non-invasive imaging and three-dimensional visualization techniques permit highly detailed morphological analyses of internal organs. Morphometric quantification of bony and soft tissue anatomy from computed tomography (CT) and magnetic resonance 1 images is used to quantify shape …
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‘Arabic Astrology’ in Early Medieval England? A Re-Examination of Prognostics and Planetary Knowledge in Three Winchester Manuscripts, c. 1023-1060
… often engage with textual ‘tools’ known as ‘prognostics’. Prognostics range from lists of ‘lucky’ or ‘unlucky’ calendar days to weather omens to prescribed activities according to the lunar cycle. Some scholars have questioned whether certain prognostics have their origins in ‘Arabic …
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ENHANCING BUILDING FAULT DETECTION, DIAGNOSTICS, AND PROGNOSTICS THROUGH A HYBRID PHYSICS-INFORMED MODELING FRAMEWORK FOR OVERCOMING QUANTITY AND TEMPORAL DATA SCARCITY
Effective Fault Detection, Diagnosis, and Prognosis (FDDP) in buildings is severely hindered by the scarcity of real-world fault data. This thesis proposes a hybrid physics-informed modeling framework to overcome both data quantity scarcity and temporal sparsity. First, Hybrid Conditional …
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