MICHIGAN AEROSPACE CORPORATION AWARDED NASA CONTRACT FOR SHORT-RANGE TURBULENCE SENSOR

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NASA Phase 1 SBIR Complements Other Work on Long-Range Turbulence Detection Michigan Aerospace Corporation (MAC), an advanced engineering and products company, today announced that it has been awarded a NASA Small Business Innovation Research (SBIR) Phase 1 contract to begin work on MAC’s Short-Range Clear Air Turbulence Sensor (SR-CATS) system. SR-CATS will use MAC’s exclusive […]

MICHIGAN AEROSPACE CORPORATION AWARDED NASA CONTRACT FOR LONG-RANGE CLEAR-AIR TURBULENCE SENSOR

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Company News

NASA Phase 2 SBIR Will Include Laboratory Testing of Concept Michigan Aerospace Corporation (MAC), an advanced engineering and products company, today announced that it has been awarded a NASA Small Business Innovation Research (SBIR) Phase 2 contract to develop its Molecular Air Data Clear Air Turbulence Sensor (MADCAT). MADCAT will look kilometers ahead of the […]

Optical MEMS-Based Seismometer ‘WhiGs’

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Publications

D. Fourguette, M. Otugen, L. Larocque, G. Ritter, J. Meeusen, and T. Ioppolo, “Optical MEMS-Based Seismometer ‘WhiGs’,” Proceedings of the 2010 Monitoring Research Review, Orlando, Fl., Sept. 21-23, 2010, pp. 272-9.

A portable neutron spectroscope (NSPECT) for detection, imaging and identification of nuclear material

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Publications

J. Ryan, C. Bancroft, P. Bloser, U. Bravar, D. Fourguette, C. Frost, L. Larocque, M. McConnell, J. Legere, J. Pavlich, G. Ritter, G. Wassick, J. Wood, and R. Woolf, “A portable neutron spectroscope (NSPECT) for detection, imaging and identification of nuclear material,” Proc. of SPIE, Vol. 7806 (Penetrating Radiation Systems and Applications XI), August 2010.

MICHIGAN AEROSPACE CORPORATION AWARDED ENERGY DEPARTMENT SBIR AWARD

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Work Will Use Predictive Analytics to Monitor for Wind Turbine Faults Michigan Aerospace Corporation (MAC), an advanced engineering and products company, today announced that it has been awarded a Department of Energy Small Business Innovation Research (SBIR) Phase I grant to apply its unique approach to predictive analytics to condition monitoring for wind turbines. Turbines […]