Digital Platform for Wafer-Level MEMS Testing and Characterization Using Electrical Response

The uniqueness of microelectromechanical system (MEMS) devices, with their multiphysics characteristics, presents some limitations to the borrowed test methods from traditional integrated circuits (IC) manufacturing. Although some improvements have been performed, this specific area still lags behind when compared to the design and manufacturing competencies developed over the last decades by the IC industry. A complete digital solution for fast testing and characterization of inertial sensors with built-in actuation mechanisms is presented in this paper, with a fast, full-wafer test as a leading ambition. The full electrical approach and flexibility of modern hardware design technologies allow a fast adaptation for other physical domains with minimum effort. The digital system encloses a processor and the tailored signal acquisition, processing, control, and actuation hardware control modules, capable of the structure position and response analysis when subjected to controlled actuation signals in real time. The hardware performance, together with the simplicity of the sequential programming on a processor, results in a flexible and powerful tool to evaluate the newest and fastest control algorithms. The system enables measurement of resonant frequency (Fr), quality factor (Q), and pull-in voltage (Vpi) within 1.5 s with repeatability better than 5 ppt (parts per thousand). A full-wafer with 420 devices under test (DUTs) has been evaluated detecting the faulty devices and providing important design specification feedback to the designers.

[1]  D. Tanner MEMS reliability , 2005, 2005 IEEE International Integrated Reliability Workshop.

[2]  R. A. Dias,et al.  Improving capacitance/damping ratio in a capacitive MEMS transducer , 2013 .

[3]  Bradley J. Nelson,et al.  Wafer-level inspection system for the automated testing of comb drive based MEMS sensors and actuators , 2010, 2010 IEEE International Conference on Automation Science and Engineering.

[4]  S. F. Kodad,et al.  A Comparative Performance Analysis Of Capacitive And Piezoresistive MEMS For Pressure Measurement , 2008 .

[5]  Paolo Bernardi,et al.  A Parallel Tester Architecture for Accelerometer and Gyroscope MEMS Calibration and Test , 2011, J. Electron. Test..

[6]  Nur A. Touba,et al.  System-on-Chip Test Architectures , 2008 .

[7]  L. Fanucci,et al.  Fully electrical test procedure for inertial MEMS characterization at wafer-level , 2013, Proceedings of the 2013 9th Conference on Ph.D. Research in Microelectronics and Electronics (PRIME).

[8]  Bin Zhou,et al.  Multifrequency Excitation Method for Rapid and Accurate Dynamic Test of Micromachined Gyroscope Chips , 2014, Sensors.

[9]  Reinoud F. Wolffenbuttel,et al.  Auto-calibration of capacitive MEMS accelerometers based on pull-in voltage , 2011 .

[10]  Pascal Nouet,et al.  A novel method for test and calibration of capacitive accelerometers with a fully electrical setup , 2008, 2008 11th IEEE Workshop on Design and Diagnostics of Electronic Circuits and Systems.

[11]  L. Rocha,et al.  Analysis and analytical modeling of static pull-In with application to MEMS-based voltage reference and process monitoring , 2004, Journal of Microelectromechanical Systems.

[12]  S. Delgado Parallel testing techniques for optimizing test program execution and reducing test time , 2008, 2008 IEEE AUTOTESTCON.

[13]  Nor Hisham Hamid,et al.  A Review on Key Issues and Challenges in Devices Level MEMS Testing , 2016, J. Sensors.

[14]  András Timár,et al.  Contactless characterization of MEMS devices using optical microscopy , 2009, 2009 12th International Symposium on Design and Diagnostics of Electronic Circuits & Systems.

[15]  Reinoud F. Wolffenbuttel,et al.  A Pull-in Based Test Mechanism for Device Diagnostic and Process Characterization , 2008, VLSI Design.

[16]  Nuno Brito,et al.  Embedded MEMS Platform for Structure Test and Characterization , 2015 .