Electric Heating Cable Fault Testing System Based on Wavelet Packet and RBF Neural Network
A new method for testing of the electric heating cable fault was proposed,which was based on the wavelet packet and RBF (radial basis function) neural network. The principle used for testing the short-circuit fault of the electric heating cable was described. The flow chart of the detecting system was given. Experimental results showed that the method, which combined the wavelet packet and RBF neural network, could be used to improve the effectiveness of locating the electric heating cable fault.
Development and application of electrical heating cable breakdown testing system
In recent years, the electrical heating cable breakdown testing system is used widely. Its electrical heating cable is under the floor, and it is not essy for us to find the cable breakdown. The electrical heating cable breakdown test system is specially designed for testing cable breakdown. The measure of hardware design and realization is mainly discussed. The paper also presents the theory of testing in detail. In praitical application, the system shows stable, and it can test conductor interrupted and conductor short-ciucuit in electrical heating cable accurately.
Chemical constituents and chemotaxonomic study of Glycyrrhiza pallidiflora maxim
Abstract Phytochemical study of Glycyrrhiza pallidiflora Maxim. gave seventeen compounds, including two sterols (3 and 4), four triterpenes (1, 2, 5, 6), ten flavones (7, 9–17), and one pterocarpan (8). The chemotaxonomic significance of G. pallidiflora was discussed, which indicated the close relationship between G. pallidiflora with other species of Glycyrrhiza. Moreover, pallidiflorin can be served as a fingerprint for G. pallidiflora, macedonic acid and echinatin can be recognized as biomarkers for Glycyrrhiza, while formononetin, afrormosin and calycosin may be typical second metabolites for Papilionoideae.