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In order to obtain the best preconditions that affect each factor of the signal value, an appropriate trial design is essential to taken. According to previously published literature, ¡°A¡± method was commonly used to determine the test conditions. However, some inevitable particular interaction exists between each factor that affect the measured signal value. Therefore, the best signal value and more accurate measurement results are difficult to obtain merely by using ¡°A¡± method. In fact, B and C are widely used multi-factor test design methods. The former is characterized by dispersed and neat comparable, but it is limited in tests with lower levels (less than 5). The experimental design method C, which was originally created by D, was developed on the basis of the B. This method could only consider the test points ignoring the tidy fully dispersed comparable, it is thereby more suitable for multi-level multi-factor test. Besides, the number of tests by C method will increase in accordance with the, while the number of tests by B method will increase with the square of the level of factors.
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the number of tests by C method will increase in accordance with the level of factors, while the number of tests by B method will increase with the square of the level of factors.
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