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This paper studies the simultaneous fault diagnosis of the main reducer in the automobile transmission system assembly based on vibration signals. A simultaneous fault diagnosis model based on Paired Relevance Vector Machine (Paired-RVM) is proposed for the simultaneous fault of the main reducer, and each binary sub-classifier is trained with single fault samples and then fused by a pairing strategy...
This paper describes an acquisition system which has been used to demonstrate the usefulness of problem-based pedagogy. This system was based on a high-performance microcontroller, an integrated temperature and humidity sensor and real-time data hard drive storage functionality. According to the characteristic analysis method, this paper illustrated the benefits of sensor network optimization by applying...
In order to recognize stratums, a new support vector machine model (SVMM) is built on the basis of well-logging data and with RBF as its kernel function. Through the optimization of penalty parameter C and the introduction of a discriminant function, the classification accuracy of SVMM is greatly enhanced. Experiments show that the SVM classifier can be applied effectively to the recognition of stratums,...
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