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- W2349464875 abstract "For the uncertain problems existing in fault reasoning process for substation, this paper presents a substation’s fault reasoning mechanism based on fuzzy Petri nets. For the problems of missing alarm signals and false signals, we develop fuzzy diagnosis rules, and adopt the fuzzy reasoning strategy. For controversial signals which apply to several rules, when the signal is single or repeated, we give the distribution plans respectively. We calculate the signals’ membership degree in time by introducing ridge type membership function. Through the simulation of fault diagnosis example, it verifies the effectiveness of this reasoning mechanism, and comparative analysis of the experimental data is conducted to describe the influence on reasoning results by different signal reception and time distribution. Experiments show that this FPN reasoning mechanism can do more accurate reasoning based on uncertain information." @default.
- W2349464875 created "2016-06-24" @default.
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- W2349464875 date "2012-01-01" @default.
- W2349464875 modified "2023-09-23" @default.
- W2349464875 title "Fault reasoning mechanism for substation based on FPN" @default.
- W2349464875 hasPublicationYear "2012" @default.
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