Search for dissertations about: "Fault classification"
Showing result 1 - 5 of 36 swedish dissertations containing the words Fault classification.
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1. A Fault Classification Approach to Software Process Improvement
Abstract : The research presented is motivated by the demand for process improvement for companies active within software development. High demands on software quality are a reality. At the same time, short development time and low effort consumption are required. This stresses the necessity for process improvement. READ MORE
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2. Faults and their influence on the dynamic behaviour of electric vehicles
Abstract : The increase of electronics in road vehicles comes along with a broad variety of possibilitiesin terms of safety, handling and comfort for the users. A rising complexityof the vehicle subsystems and components accompanies this development and has tobe managed by increased electronic control. READ MORE
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3. On Evaluating Test Techniques in an Industrial Setting
Abstract : Testing is a costly and an important activity in the software industry today. The systems are becoming more complex and the amount of code is constantly increasing. The majority of systems need to rely on its testing to show that it works, is reliable, and performs according to user expectations and specifications. READ MORE
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4. On Fault Detection, Diagnosis and Monitoring for Induction Motors
Abstract : In this thesis, multiple methods and different approaches have been established and evaluated successfully, in order to detect and diagnose the faults of induction motors (IMs). The aim of this thesis is to present novel fault detection and isolation methods for the case of induction machines that would have the merit to be implemented online and being characterized by specific novel capabilities, when compared with the existing techniques. READ MORE
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5. On Data Mining and Classification Using a Bayesian Confidence Propagation Neural Network
Abstract : The aim of this thesis is to describe how a statisticallybased neural network technology, here named BCPNN (BayesianConfidence Propagation Neural Network), which may be identifiedby rewriting Bayes' rule, can be used within a fewapplications, data mining and classification with credibilityintervals as well as unsupervised pattern recognition.BCPNN is a neural network model somewhat reminding aboutBayesian decision trees which are often used within artificialintelligence systems. READ MORE