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 63 for “"failure prediction"”.
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A failure prediction model for window glass
… analytical method to predict the probability of failure of window glass plates subjected to lateral loads. The failure prediction technique should include provision for all significant factors which influence glass strength and all significant factors which influence plate behavior The ultimate …
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Failure Prediction of Adhesively Bonded Hardboard Doorskin Joints
… thesis describes the results of a study of the failure of hardboard door skins. Forces applied during manufacture load the door skins in bending, and in some cases cause a split at the edge of the hardboard. A finite element model as well as a closed form solution based on mechanics of materials …
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Probabilistic modeling of kidney dynamics for renal failure prediction
… dynamics of states. We applied the models to the prediction of acute kidney injury (AKI), but the models are applicable to other medical conditions as well. It is known that serum creatinine follows first-order clearance kinetics. We developed a stochastic kinetic model for first-order clearance …
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Failure avoidance techniques for HPC systems based on failure prediction
… computing systems is wasted due to failures and recoveries. Moreover, it is expected that high performance computing will reach exascale within a decade, decreasing the mean time between failures to one day or even a few hours, making fault tolerance a major challenge for the HPC …
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Failure Prediction of Honeycomb Panel Joints using Finite Element Analysis
… load but are most vulnerable to structural failure at their joints where panels connect. This research shows that predicting sandwich panel joint capability using finite element analysis (FEA) is possible. This allows for the potential elimination of coupon testing early in a spacecraft …
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Optimizing roof control using probabilistic techniques in roof failure prediction
… stage of an underground mine is the reliable prediction of roof falls' size, frequency and location. Probabilistic simulation of potential roof control problems allows a designer to test the performance of competing mine layouts against assumed roof conditions. By comparing different roof …
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Data-Driven Approaches in Water Pipe Condition Assessment and Failure Prediction
The increasing frequency of failures in ageing water distribution networks has created significant operational, financial, and environmental challenges for utility providers. This PhD research presents a novel integrated approach for predictive maintenance of buried water pipes, combining machine …
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A Cox proportional hazards-cash flow model for bank failure prediction
… cash flow information will improve current bank failure prediction methods. In two published papers it has been shown that the Cox model performs as well as other models with respect to error rates and predictive accuracy. The Cox model, however, provides more information than models using the …
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The Altman corporation failure prediction model : applied among South African medical schemes
… and contextualize the Altman bankruptcy prediction model in the setting of the South African medical schemes over a ten year period (2002 to 2011). The main objective of this study is to validate the Altman Z₂ model amongst the medical schemes in South Africa; in terms of accurately …
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Application of Machine Learning in Failure Prediction of Brazed-Aluminum Based Heat Exchangers
… design for unlimited life, several pre-mature failures in different natural gas processing plants have been happened which has resulted in significant loss of revenue and serious life threats. In this work, we used finite element analysis to explain potential reasons for failure occurred at two …
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A Comparison of Water Main Failure Prediction Models in San Luis Obispo, CA
<p>This study compared four different water main failure prediction models: a statistically simple model, a statistically complex model, a statistically complex model with modifications termed the 2019 model, and an age-based model. The statistically complex models compute the probability of …
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Machine learning for corporate failure prediction : an empirical study of South African companies
… was to construct an empirical model for the prediction of corporate failure in South Africa through the application of machine learning techniques using information generally available to investors. The study began with a thorough review of the corporate failure literature, breaking the …
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Failure Prediction of Spatial Wood Structures: Geometric and Material Nonlinear Finite Element Analysis
… their response on equilibrium paths, identify failure modes, and predict the ultimate load. The finite element models of this study are based on the Crafts Pavilion dome (Triax) in Raleigh, North Carolina, and the Church of the Nazarene dome (Varax) in Corvallis, Oregon. Modeling considerations …
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Ratio based failure prediction models for the Small-Medium Enterprises (SMEs) in the UK
… the UK, there has been limited researchinto SME failure prediction modelling. This study develops failure prediction modelsspecifically for liquidated SMEs using financial ratios. Despite the fact that there is a cleardistinction between small sized (SEs) and medium sized (MEs) companies (in …
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Development of a vibration fatigue failure prediction model for automotive lamps made of polymers
… polymers. The primary aim is to use the fatigue failure prediction technique developed in this research to address fatigue challenges in the design of automotive lamps. The research combined numerical simulation and experimental studies. As part of design verification, automotive lamps are …
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The use of defensive intervals in corporate failure prediction and auditors' going concern evaluations
… that defensive intervals make to business failure prediction. Multiple discriminant analysis (MDA) was the basic technique employed to evaluate this contribution. Using ratio sets found to be good predictors in prior research as a starting point, discriminant models were constructed that …
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Breaking things so you don’t have to: risk assessment and failure prediction for cyber-physical AI
… the system's design to be more robust to the failures they uncover. In this thesis, I develop a suite of methods that accelerate verification and design automation of robots and other autonomous systems by using program analysis tools such as automatic differentiation and probabilistic …
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The impact of installed base and machine failure prediction on spare parts forecasting and inventory planning
… research tests various scenarios of predictive failure accuracy, creating spare parts forecasts based off of varying predictive forecast parameters. We compare these scenarios and their respective outputs to a regular time-series forecasting scenario, inserting each type of forecast into a …
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Chemical and physical effects of interaction between oilfield chemicals and formation rocks and integration with sand failure prediction models.
Sand failure may result in the production of formation sand at the same time the formation fluids are being produced. Sand failure occurs when the formation stress exceeds the strength of the formation, which is derived mainly from the natural material that cements the sand grain and cohesive …
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A corporate failure prediction model for non-financial South African corporates incorporating best practices used by the credit industry
… in South African non-financial corporate failure, where advance prediction thereof will become even more important. A number of South African non-financial corporate failures have occurred following the financial crisis. In addition, South Africa experienced a watershed moment with the …
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