{'fraction_non_alphanumeric': 0.017857142857142856, 'fraction_numerical': 0.001488095238095238, 'mean_word_length': 5.797979797979798, '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}}
Partial Discharge Pattern Recognition of Power Transformer by Using Information Fusion

As one of the most important equipments in the power system, partial discharge (PD) affects the transformer’s properties in a long-term period and the partial discharge pattern recognition has most important sense. In the paper,3 kinds of experimental models simulating discharges were designed and model experiments were performed. Based on this, a transformer partial discharge pattern recognition system based on information fusion technology is developed. the finally experiments show that: information fusion have enough ability to recognize different types of partial discharge.