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We also provide sophisticated data interrogation techniques needed in the complex analysis of
forensics and failure causality. We conduct analyses based on variations of FFT processing,
time-domain manipulation, coherence and correlation analysis, wavelet transformations, and
chaos modeling, among others.
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Analysis of
machine dynamics for the purpose of detecting imbalance, bearing failure or performance
deterioration for example requires an understanding of rotational harmonics and
modulated signals. At SC Engineering we use our technology to analyze rotating
machinery data giving us the ability to track harmonic vibration orders,
correlating their effects with system acoustic and dynamic behavior. From our
analysis we can reliably identify problems and recommend solutions that work.
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Modeling is a crucial part of engineering. We provide dynamic simulation models using
various software platforms. Such models have been used to predict dynamic motion of
mechanical filtration machines, operating modes of transportation vehicles, wheel-rail
interaction forces of rail cars, mechanism kinematics, and servo-loop control systems for
aircraft, among others.
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Kirkpatrick, S., Schroeder, M., Salazar, J.C., "Developing
Guidelines for Crashworthiness of Light Rail Vehicles in Mixed Fleet Operations,"
Proceedings of IMECE2002, ASME International Mechanical Engineering Congress & Exposition,
New Orleans,Louisiana, November 17-22, 2002, IMECE2002-39623.
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Holmes, S. , Schroeder M., and Toma E., "High-Speed Passenger
and Intercity Train Aerodynamic Computer Modeling," in Rail Transportation 2000 ed. S. K. Punwani, ASME
Publication 2000 168 pp. ISBN: 0-7918-1926-4 RTD-Vol. 19, 2000.
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