Abstract
Micro beams found to be an optimistic device for several applications in various MEMS device like actuators, diaphragms, sensors and accelerometers. Its high sensitivity, accuracy and precision made this to be a basic functional unit of most MEMS devices. Micro beams shows difference in its vibrational frequency, stress and deflection over various input conditions. Occurrence of defects in the miniaturized structure can show major impact in its performance and sensitivity. Hence it is very essential to detect any defects presents in the micro device structure. In this study an eminent method of identifying the presence of cracks and its exact locations by interpreting the change in deflection and stress experienced by the micro beam using wavelet transform was illustrated. Wavelet transform and its packet decomposition is one among the efficient mathematical tool for analyzing signals in both frequency and time domain. The proposed device structure was designed and modeled using COMSOL Multiphysics simulation software. From the obtained results the location of the cracks which appears in micro cantilever structure due to various working conditions can be perfectly identified using wavelet transform analysis.
Highlights
Wavelet transform (WT) is an eminent approach for signal analysis by the scaled and shifted wavelets which is being applied to a wide range of engineering applications
Micro beams found to be an optimistic device for several applications in various Micro electro mechanical system (MEMS) device like actuators, diaphragms, sensors and accelerometers
The device with structural damages is compared with healthy device and the presence of location is identified by use of wavelet transform analysis and wavelet packet transform
Summary
Wavelet transform (WT) is an eminent approach for signal analysis by the scaled and shifted wavelets which is being applied to a wide range of engineering applications. WT has the potential to provide accurate time and frequency resolutions of a signal This instinctive feature of wavelet transform made it very popular for various engineering applications[4]. Wavelet packet transform(WPT) which is the generalization of WT is flexible over time-frequency plane in analyzing signals, found to be more dominant in applications[6]. WPT is the emerging successive mathematical analysis concept in the field of fault and crack diagnosis because of their superior frequency localization than wavelets. In this present study, we utilize the wavelet packets to analyze the output signal from a micro beam to locate any damages or cracks present. The device with structural damages is compared with healthy device and the presence of location is identified by use of wavelet transform analysis and wavelet packet transform
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