{'fraction_non_alphanumeric': 0.020172910662824207, 'fraction_numerical': 0.0, 'mean_word_length': 4.94017094017094, '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 ANFIS in Engine Fault Prediction

Application of Adaptive Neuro-Fuzzy Inference System (ANFIS) in engine fault prediction is introduced in this paper. For insuring the engine safety and reliability, the fault of engine must be predicted, and the fault can be terminated in time. So, the fault prediction theory and the method of ANFIS are studied. The fault prediction sets, the structure and parameters for ANFIS are given in the course of fault prediction. It has made very pleased result through experiment of certain type engine fault prediction, and it is important to engine maintenance. The application of ANFIS has a good reference to engine fault prediction researching.