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This paper reports the development of hybrid monitoring and analysis software for those who are interested in hybrid analysis. When the machines were operating, the situations that made motor current, vibration and oil could demonstrate the characteristics of machinery status. Somehow, to provide engineers could detect and make maintenance plans by observing and collecting the data as speed and magnitude to compare with ISO standards. This may be of benefit in many industries such as aerospace and industrial power plant etc. เท the experiment, the software may collect the data from a sensor through Nl hardware. To experiment the project for testing by using the virtual machine, the experiment has gone through the motor rotation and add the mass on shaft to compare the data and distinguish the status that shows upon interface the program. เท this paper, the performance was analysed based on the RMSE between fuzzy logic and Neuro-fuzzy systems on MATLAB. The result errors obtained from fuzzy logic of 70% to 140% were relatively higher if compared to Neuro-fuzzy systems of 3% to 37% due to Neuro-fuzzy training from real hybrid data but fuzzy systems designed reference follow ISO standard. [ABSTRACT FROM AUTHOR]

This research presents the application of a fuzzy logic system for evaluating students' learning achievement. It study the principles and the configurations behind the fuzzy logic system such as membership function, If-then rule base, linguistic variable and illustrates how. These principles could be applied by educators for evaluating students. เท this system student performance depends on exam paper results and it is evaluated only as success or failure. เท addition, the researchers also compared the fuzzy evaluation method with classical method and t-score method. [ABSTRACT FROM AUTHOR]