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par mcollinscalz
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Fault diagnosis using Fuzzy logic for DC power system Abstract This paper focuses on Fuzzy Logic as one of the modelling tools that are used to build faulty diagnosis models whose purpose is to enable accurate diagnosing of faults when uncertain and incomplete alarm information is detected from the circuit breakers and the protective relays. To diagnose a fault, it must be detected first therefore, faulty detection depends on non-linear fuzzy modelling while diagnosing depend on the transparency of the reasoning system from experimental and simulation data. This paper indicates, in several cases, that faulted system elements can be diagnosed correctly using Fuzzy models to give satisfying results even when there is great variance of uncertain and incomplete alarm information. It focuses on fuzzy logic due to the advantage that it enables incorporation of a prior knowledge allowing the user to understand the inference of the system. Apart from diagnostics this paper also explains the ne

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Mechanical Engineering I have numerous and wide knowledge in mechanical engineering and in computer technology which is a sub-skill or sub-unit in mechanical engineering. These two fields gave me the opportunity to have skills in copy writing, typing, web designing, data entry and also in writing articles related to Mathematics and Physics. Building applications in Matlab and Excel for 15 years: - Numerical analysis - Optimization - Statistical analysis - GUI Machine Learning (supervised and unsupervised) - SVM, Naive Bayes, Nearest Neighbor, K-means clustering Statistical Analysis | Data Analysis| Data Entry - Descriptive statistics - Regression analysis - Hypothesis testing Academic Writing | SEO Writing | Forum Posting I also specialize in link building, SEO, PDF/OCR conversions, market research and internet marketing. I do promise to bring out my best, given the opportunity in terms of speed and efficiency. I am available both for long and short-term projects. Best regards, Collins

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