2006 · 32 citations · 10 references
EngineeringElectrical EngineeringMechanical EngineeringInstrumentationMicroelectromechanical SystemsSensorsMechanical MeasurementMechanical SensorsMems CharacterizationMems SensorsMems TestingMicroelectromechanical SensorsAccelerometer CharacterizationAccelerometer SensorsBuilt-in TestBuilt-in Test SystemsElectrical Testing Of Mems DevicesMechanical Testing Of Mems DevicesMems Mechanical SensorsMems Sensor Testing
Recent advances in thin film micromachining techniques have spurred a new generation of smart systems incorporating microelectromechanical systems (MEMS). Extracting the mechanical properties of MEMS devices has always been a challenge in terms of test time and test cost due to difficulties associated with accurate characterization of thin films. This paper describes a novel technique for diagnosing the mechanical parameters of a cantilever-beam accelerometer using purely electrical test stimulus. The beam is stimulated with an optimized test stimulus, generated by a gradient-based search method. The response measurements made on the MEMS device are mapped to the mechanical properties of the beam using a regression-based mapping technique. Using this method, the mechanical parameters associated with the beam can be estimated within an accuracy of 5% of their actual values. In addition, the test approach is amenable to a compact built-in test solution.
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Multivariate Adaptive Regression Splines
Jerome H. Friedman · The Annals of Statistics · 1991 · 8.1K citations · Full text