Handbook of Microwave Component Measurements

2020 ◽  
Author(s):  
Joel P. Dunsmore
Keyword(s):  
Microwave Component

Digital enhancement of microwave component performance

2003 ◽  
Author(s):  
H. Endler ◽  
A.M. Madni ◽  
P. Vuong
Keyword(s):  
Microwave Component

scholarly journals A Bayesian least-squares support vector machine method for predicting the remaining useful life of a microwave component

2017 ◽  
Vol 9 (1) ◽  
pp. 168781401668596 ◽  
Author(s):  
Fuqiang Sun ◽  
Xiaoyang Li ◽  
Haitao Liao ◽  
Xiankun Zhang
Keyword(s):  
Support Vector Machine ◽  
Least Squares ◽  
Remaining Useful Life ◽  
Lifetime Prediction ◽  
Support Vector ◽  
Machine Method ◽  
Support Vector Machine Method ◽  
Microwave Component ◽  
Useful Life ◽  
Bayesian Least Squares

Rapid and accurate lifetime prediction of critical components in a system is important to maintaining the system’s reliable operation. To this end, many lifetime prediction methods have been developed to handle various failure-related data collected in different situations. Among these methods, machine learning and Bayesian updating are the most popular ones. In this article, a Bayesian least-squares support vector machine method that combines least-squares support vector machine with Bayesian inference is developed for predicting the remaining useful life of a microwave component. A degradation model describing the change in the component’s power gain over time is developed, and the point and interval remaining useful life estimates are obtained considering a predefined failure threshold. In our case study, the radial basis function neural network approach is also implemented for comparison purposes. The results indicate that the Bayesian least-squares support vector machine method is more precise and stable in predicting the remaining useful life of this type of components.

Advances in Microwave-Assisted Processing For Electron Microscopy

2001 ◽  
Vol 7 (S2) ◽  
pp. 1192-1193 ◽  
Author(s):  
R. T. Giberson
Keyword(s):  
Microwave Heating ◽  
Sample Processing ◽  
Closed Cavity ◽  
Microwave Assisted ◽  
Heating Effects ◽  
Microwave Component ◽  
Close Proximity ◽  
History Of ◽  
Cavity Design ◽  
Cold Spots

The history of microwave-assisted processing has been dominated by the idea that microwave heating was an integral part of the equation. The separation of a microwave component from the heating effects of the radiation during sample processing has been experimentally difficult. Combined with this difficulty has been the closed cavity design of microwave ovens. This design is typical of laboratory and household ovens and results in the formation of “hot” and “cold” spots within the chamber. These spots produce regions in close proximity to each other which have widely varying heating effects on samples.A second factor to consider with microwave heating is the effect wattage output has on rate and extent of microwave induced heating. Peak wattage outputs of all laboratory and most household microwave ovens are in excess of 650W. As a result the vast majority of all microwave-assisted protocols are based on heating parameters associated with high wattage processing.

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