{'fraction_non_alphanumeric': 0.01415929203539823, 'fraction_numerical': 0.0, 'mean_word_length': 4.717171717171717, 'pattern_counts': {'":': 0, '<': 0, '<?xml version=': 0, '>': 0, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
A Method of Fault Diagnosis in Nuclear Plant Based on Fuzzy Sets

Nuclear power plant is a large and complex system, when it fail, a fast and accurate fault diagnosis is needed to ensure a safe and efficient working of nuclear power plant. In this paper, the feasibility of exploiting fault diagnosis system based on fuzzy sets theory in nuclear plant was demonstrated. The genetic algorithm was introduced to optimize the rules of diagnosis, so as to achieve fast fault diagnosis of nuclear power plant, to ensure maximum security and stability of the power plant.