{'fraction_non_alphanumeric': 0.010296010296010296, 'fraction_numerical': 0.0, 'mean_word_length': 5.125984251968504, '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}}
Fusion method of metering equipment reliability assessment based on degradation information and failure data

The reliability and stability of metering equipment has a direct effect on the daily life of civilians. Thus, the accurate methods for metering equipment reliability assessment are of vital importance. In most cases, both failure data and degradation information can be obtained in the degradation test of metering equipment. To make full use of these two kinds of data and assess the reliability of metering equipment accurately, a fusion method for reliability assessment based on failure data and the performance degradation data is proposed by the Bayesian method in this paper, and a real example is given in the end to show the implement of the proposed method.