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Factor analysis was used to establish the comprehensive evaluation health index. Based on the comprehensive score, GM (1, 1) and curve fitting model were used to predict the health situation of the residents. Then two methods were used to consist of a linear combining forecasting method to predict the health situation. The result is:1)Composite score of the health and four factor scores were on the...
In this paper, real-time information record mainly includes real-time current and voltage waveform record, switch signal record, traveling wave record and weather condition record. When distribution network works in different states, the detected current and voltage waveform also are different. To some degree, waveforms can reveal a lot not only the real-time operating state of distribution network,...
The classification principles of the complex equipment health condition were proposed. the basic thought of fuzzy C means clustering algorithm (FCM) was analyzed. Further more, the advantages and disadvantages of traditional FCM were discussed. Then, the improved FCM algorithms based on artificial bee colony algorithm was suggested. Finally, complex equipment health condition classification scheme...
This paper presents a method to estimate a transformer health condition based on diagnostic tests. A feed forward artificial neural network (FFANN) is used to find the health index of the transformer. The health index is used to find the health condition of the transformer. The training of the FFANN is done using real measurements of 59 working transformers. The testing of the trained neural network...
In this paper, we will propose a method to detect an unusual voice for nursing system. Based on the healthy condition of a person, we define four kinds of unusual voices including cough, groan, wheeze and cry for help. When the person nursed sends out the unusual voices, we judge that his health condition have a doubt, and need someone to pay attention. In order to detect the unusual voices, we extract...
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