{'fraction_non_alphanumeric': 0.013377926421404682, 'fraction_numerical': 0.0, 'mean_word_length': 5.655555555555556, '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}}
Modeling System Reliability Using a Nonparametric Method

System reliability is an important problem especially in reliability engineering. The frequency a system failure happens is represented by failure rate. We use failure rate instead of system reliability to analyze a particular system.Traditional parametric models cannot give a good fit to complex systems, wetherefore employed a nonparametric method in this paper. Gaussian smoothing is also applied on the failure rate curves. Compared with parametric models, the nonparametric model yields more accurateestimation of system failure rate.