{'fraction_non_alphanumeric': 0.012367491166077738, 'fraction_numerical': 0.0, 'mean_word_length': 4.7272727272727275, '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 the enhanced dynamic causal digraph method on a three-layer board machine

This paper presents an enhanced dynamic causal digraph reasoning method for fault diagnosis and its application to a three-layer board machine. The presented method allows to identify the possible faulty process component for the process type of fault. The application of the proposed method to the three-layer board machine is presented at the end of the paper. The results show that the proposed method is able to locate the origin of the fault on a process component level.