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The uncertainty associated with load forecast is a challenging issue in reliability evaluation and transmission planning. The uncertainty cannot be always represented by a probability distribution. This paper presents a method to include a fuzzy load model in reliability evaluation of mixed AC-DC supply systems. The presented fuzzy load model and three-state probability model for HVDC poles can be...
Information Fusion is a valid way which can decrease the uncertainty of making decision, and is also a hotspot. The paper makes some work on a important problem about Fuzzy Integral, that is how to get the Fuzzy Density, and compares two typical means. Based on 11 UCI data set, this paper conducts the compared experiment of several Information Fusion methods. It is compared with references 4 and 5...
Fuzzy travel time reliability on road network is presented in the paper, which shows travelers' expected travel time and tolerance to delay by membership function. In virtue of the stochastic users' equilibrium model, the fuzzy travel time reliability is obtained under day-to-day variations in travel demand. A scenario-based analysis method is proposed to estimate the probability of a path travel...
A conceptual possibility-probability based framework is proposed to manage the uncertainties encountered in distribution system reliability. Probability distribution of reliability parameters, the failure rate, the load point outage duration and the power injection of feeder branch are transformed consistently into the corresponding possibilistic distribution function. Under the proposed framework,...
The process industry has always been faced with the difficult task of determining the required integrity of safeguarding systems such as safety instrumented systems (SISs). The ANSI/ISA S84.01-1996 and IEC 61508 safety standards provide guidelines for the design, installation, operation, maintenance, and test of SIS. However, in the field, there is a considerable lack of understanding of how to apply...
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