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 “"Efficiency estimation"”.
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Non-intrusive efficiency estimation of induction machines
Determining the efficiency of an in-service motor requires the motor to be decoupled from its load or the use of highly specialised equipment which is often unavailable on site. In order to assess the efficiency of an induction machine, it is subjected to numerous testing procedures established by …
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Non-intrusive efficiency estimation of inverter-fed induction machines
… it is vital to continually assess the efficiency of induction machines in order to initiate replacement or economic repair. It is therefore of paramount importance that reliable and non-intrusive techniques for efficiency estimation of induction machines be investigated, that consider …
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Development of new methods for nonintrusive induction motor energy efficiency estimation
… the development of methods for accurate energy efficiency estimation has become a crucial area of research. While several methods have been proposed for induction motor efficiency determination, majority of the methods cannot be easily applied in the field owing to the intrusive nature of the …
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Non-intrusive efficiency estimation of induction machines under various power supplies
… machines, determining an induction motors efficiency non-intrusively is of great importance in that it enables the machine to operate productively whilst ensuring that the energy consumed by the machine is utilized efficiently. International efficiency testing methods such as the IEEE 112-B …
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Large-Scale Algorithms for Machine Learning: Efficiency, Estimation Errors, and Beyond
… of the problems, resulting in enhanced efficiency compared to current methods applied to these issues. Another key aspect in examining learning algorithms involves comprehending the estimation precision of the derived estimator. In some scenarios, while achieving exact optimization on …
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Specification tests and a reformulation of frontier models: An alternative approach to efficiency estimation
… has been performed measuring firm's technical inefficiency using this model with various distributional assumptions of technical inefficiency. Most stochastic frontier models are overly restrictive both in terms of the functional form and the distributional assumptions of the error terms. Unlike …
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Efficiency measurement. A methodological comparison of parametric and non-parametric approaches.
The thesis examines technical efficiency using frontier efficiency estimation techniques from parametric and non-parametric approaches. Five different frontier efficiency estimation techniques are considered which are SFA, DFA, DEA-CCR, DEA-BCC and DEA-RAM. These techniques are then used on an …
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Characterization and Control of Multi-Cylinder Partially Premixed Combustion
… to a novel method of cylinder individual efficiency estimation based on the cylinder pressure trace. With this method, control strategies aiming directly at fuel consumption optimization can be developed. An extremum seeking control algorithm was applied. The results show that the …
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Essays on Productive Efficiency, Trade, and Market Power: Evidence from African Manufacturing Firms
… examines three main themes, firms productive efficiency, internationalisation of African firms, and effect of liberalisation policies on market power and market imperfections. The thesis combines two main strands in economics literature in accessing the three main themes of the papers. The …
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Search for boosted Higgs boson decays to a pair of spin-0 particle in the 4b final state.
… presents a new technique in calibration, efficiency estimation, and uncertainty calculation of 4-body AK8 jet taggers, as well as the training and assessment of ParticleNet mass decorrelated regressors, then outlines their usage in the search for boosted Higgs boson decays to a pair of …
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Modelling on-domestic buildings energy performance using machine learning methods, a case study of the UK
… Learning (ML) methods in the buildings energy efficiency estimation. It established an approach based on evolutionary optimisation to reach the highest potential of MLs in predicting buildings energy performance. It then developed an energy performance prediction model for the UK non-domestic …