12/8/2023 0 Comments Trash x apnsuAlso all the three methods give excellent diagnosis results when the applied load at the same speed of training speed. All the three methods show excellent accuracy when training and diagnosis at same specific speed especially SVM, while the accuracy is low when diagnosis at a speed that differs from training speed. The training is done by using the data collected from two-channel, horizontal and vertical in three cases first, both time and frequency domains are used as features input to the three proposed methods, secondly, using frequency domain only or thirdly, using part of the time domain features with frequency domain features for two speed. Selecting the correct features is the most important thing in training and diagnosis field and it is the core issue of this field, in this thesis, a trial is made to improve the accuracies of the three proposed methods by trying to select the proper features from time domain. In this Paper, surveys, application, and comparison of three types of artificial intelligence in machinery fault diagnosis: Neural Network, Support Vector Machines, and Artificial Immune Recognition System have been introduced. The proposed system that we have built had given very promising results in diagnosing the cirrhosis disease. The classification accuracies obtained from AIRS and the proposed system are 88.89% and 100% using 10 fold cross validation, respectively. The robustness of the proposed method is examined using classification accuracy and 10-fold cross-validation method. Finally, we have run the AIRS classifier system to classify the inputs obtained from GDA method. In the second stage, the GDA method has been applied to power spectral densities (PSD) of the portal vein Doppler signals as pre-processing. In the fist stage, Power spectral densities (PSD) of the portal vein Doppler signals were obtained using Short Time Fourier Transform (STFT) method. The proposed system comprises of three stages. In this paper, we have proposed a new automated detection system based on Generalized Discriminant Analysis (GDA) and Artificial Immune Recognition System (AIRS) to diagnose the portal vein Doppler signals belong to the patients with cirrhosis and healthy subjects.
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