{'fraction_non_alphanumeric': 0.018842530282637954, 'fraction_numerical': 0.0, 'mean_word_length': 6.44, '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}}
Application of Reliability Growth Model in Flight Test

At present, aircraft reliability assessment is generally calculated by exponential distribution in the flight test stage, but the exponential distribution has certain limitations, and with the continuous maintenance of aircraft in the flight test stage, the reliability gradually increases and the failure rate gradually decreases. Aiming at the above problems, this paper uses normal distribution, exponential distribution, Weibull distribution, lognormal distribution and AMSAA growth model for fitting modeling, Finally, through comparative analysis, the optimal reliability fitting distribution results are given, which is of great significance for subsequent reliability evaluation.