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Kernel partial least squares(KPLS) is widely adopted for soft-sensing in nonlinear industrial process. For KPLS method, the determination of central nodes and kernel width in the kernel function will affects generalization ability and predictiability. This paper proposes an entropy-clustering and K-means based KPLS regression method. First of all, it divides the original data into several clusters...
The model based on the accelerating aging tests, such as 85°C/85%RH, are usually used to estimate the reliability and MTTF of ACA joints in their normal working condition. Experiences show that it will lead inaccurate results if the influence of temperature level on reliability degradation is not considered. In this paper, the effect of the temperature level (namely working stress, denoted by s) on...
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