Papers by Keyword: Health Condition

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Authors: Li Wang, Ai Jing Li
Abstract: Association rule mining is one of the most important techniques in data mining. According to the national standard of students’ health, the health condition of university student should be tested once every academic year. So a lot of testing data have been recorded in our university. This paper analyzes these data of freshman students by positive and negative association rules and finds lots interesting results. By analyzing these results, some suggestions are proposed to improve the students’ health condition, including targeted physical education teaching, establish a supervising system, and do exercises on own initiative.
Authors: Yong Hong, Byung Jin Kim, Dong Pyo Hong, Young Moon Kim
Abstract: Beam structures are a common form in many large structures, and therefore the real-time condition monitoring and active control of beams will improve the reliability and safety of many structures. However, the incipient damage, i.e. cracks, is not easy to be detected with using the traditional methods, such as modal analysis, etc. Piezoceramic (PZT) sensors offer special opportunities for the health monitoring of structures constructed by beams. The change of mechanical impedance of structures along with the occurrence of damage is sensitively indicated by the change of electro-impedance of PZT sensors. This paper presents work done on developing and utilizing PZT sensors to detect and quantitatively assess the extent and locations of cracks occurred in simulated structures. The PZT sensors are conducted particularly to generate the longitudinal wave along the beam specimen, and systematic experiments conducted on statistical samples of incrementally damaged specimens were used to fully understand the method, the cracks with different length and location are simulated to indicate the feasibility of the detection and assessment. To estimate the damage conditions numerically, in this paper, we propose the evaluation method of impedance peak frequency shift F and CC (Correlation Coefficient), Cov (Covariance). The results of experiments verify that the impedance peak frequency shift Δ F uniformly assesses the location of cracks, and as well CC. and Cov assesses the size of cracks efficiently. The study presents the method that is satisfied for much higher frequencies, alternate power, and minute damages.
Authors: Kai Zhong Xie, Bing Hui Song, Hong Wei Wang, Lin Hai Lv
Abstract: The problem of highway tunnel disease is more and more serious, however, the assessment of health condition for highway tunnel is lack of effective methods. In order to build the health diagnosis system for the highway tunnel, the index and weight system of the assessment model was studied by the neural network method. First, all kinds of highway tunnel disease’s indices are proposed, then, the health grades are founded based on eight classes, finally, the quantitative analysis for weights of index is developed by neural network method. The results show that the weights of health condition index can reflect the actual situation, and can be used in health diagnosis assessment model.
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