Phd thesis on power system reliability

Phd thesis on power system reliability

School: North China Electric Power University Course: Thermal Power Engineering Keywords: turbogenerator fault diagnosis reliability centered maintenance principal component analysis clustering analysis rough set CLC: TK Type: PhD thesis Year: Downloads: Quote: 0 Phd Thesis On Power System Reliability — Cambridge essay service. During the course of phd research, it is quality that suitable algorithms are required for the characterization of the disturbances for smooth mitigation of the distortions. So, data mining based classifier has been proposed for discrimination of both single and multiple disturbances Item Type: Thesis (PhD) Uncontrolled Keywords: Adaptive neuro-fuzzy inference system; annual risk; artificial neural network; capacity credit; capacity outage probability table; chaotic behavior; fuzzy logic; derating adjusted forced outage rate; expected loss of load; forced outage rate; k-d tree; nearest neighbor search; reliability; solar power; wind energy conversion system; wind power

Theses & Dissertations | Center for Electric Power Engineering

How to put the result of reliability centered maintenance analysis into the process of fault diagnosis to make fault diagnosis provide more important information for condition maintenance and how to use advanced intelligent fault diagnosis technology for turbogenerator fault diagnosis to improve the accuracy of fault diagnosis result are study content in this dissertation. Reliability centered maintenance analysis method is used to analyze steam turbine vibration fault and flow path components fault in order to get some information of fault reason, fault influence, phd thesis on power system reliability, fault treatment measures and fault symptoms about the fault.

The information is used to build fault diagnosis model and fault diagnosis flow. The fault diagnosis model is used to make fault diagnosis follow fault diagnosis flow. At last, fault diagnosis report is gotten to provide technical support for maintenance decision.

With the purpose of reducing fault identification range, extracted principal component feature of fault is used to class fault modes into several fault classifications in order to identify the phd thesis on power system reliability classification to which the fault belongs in the first step for fault diagnosis. The fault diagnosis decision table is built by using rough set theory, which is used to extract fault symptoms that are useful for identifying the fault from several fault modes included in a fault classification.

So the fault diagnosis rules are optimized by this method, the other reductant rules are dismissed to descrease the influence to fault identification. The weight distribution method by expert experience is often used in the process of fault diagnosis inference to distribute the weight of the precondition of fault diagnosis rules.

This method has the disadvantage of making the weight with the influence of human subjectivity. A method of weight distribution using knowledge dependency which is used to overcomes the disadvantage of weight distribution using expert experience to decrease the uncertainty in the inference process of fault diagnosis. The normal operation range of thermal parameters is obtained by using a statistic analysis method, which combined with operation rules to obtain all kinds of operation range membership degree of thermal parameters.

After then, membership function of fault symptoms are got by selecting suitable function. With the purpose of field application, the intelligent fault diagnosis system for phd thesis on power system reliability was developed to meet the requirement of condition maintenance by using latest technology of hardware and software.

Power System Reliability

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Item Type: Thesis (PhD) Uncontrolled Keywords: Adaptive neuro-fuzzy inference system; annual risk; artificial neural network; capacity credit; capacity outage probability table; chaotic behavior; fuzzy logic; derating adjusted forced outage rate; expected loss of load; forced outage rate; k-d tree; nearest neighbor search; reliability; solar power; wind energy conversion system; wind power I know that it Phd Thesis On Power System Reliability is a time consuming job to write dissertations. I had no time to compete my dissertation, but my friend recommended this website. The second paper I ordered was a research report on history. I received high grade and positive feedback Phd Thesis On Power System Reliability from my instructor a more comprehensive understanding of solar power, IPE considered solar power’s reliability in terms of its economic, physical, and environmental implications. We first explore solar power’s economic reliability, which we define as the ability of an energy source to be self-sustaining and affordable without government mandates or subsidies