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Evaluation of uncertainties in classical and component (blocked force) transfer path analysis (TPA) (2019)
Journal Article
Moorhouse, A., Meggitt, J., & Elliott, A. (2019). Evaluation of uncertainties in classical and component (blocked force) transfer path analysis (TPA). SAE Technical Papers, 1(4), 1779-1789. https://doi.org/10.4271/2019-01-1544

Transfer path analysis (TPA) has become a widely used diagnostic technique in the automotive and other sectors. In classic TPA, a two-stage measurement is conducted including operational and frequency response function (FRF) phases from which the con... Read More about Evaluation of uncertainties in classical and component (blocked force) transfer path analysis (TPA).

Development of a hybrid FE-SEA-experimental model (2019)
Journal Article
Clot, A., Meggitt, J., Langley, R., Elliott, A., & Moorhouse, A. (2019). Development of a hybrid FE-SEA-experimental model. Journal of Sound and Vibration, 452(Jul 19), 112-131. https://doi.org/10.1016/j.jsv.2019.03.027

The vibro-acoustic response of complex structures with uncertain properties is a problem of great concern for modern industries. In recent years, much research has been devoted to the prediction of this response in the mid-frequency range where, beca... Read More about Development of a hybrid FE-SEA-experimental model.

A covariance based framework for the propagation of uncertainty through inverse problems with an application to force identification (2019)
Journal Article
Meggitt, J., Moorhouse, A., & Elliott, A. (2019). A covariance based framework for the propagation of uncertainty through inverse problems with an application to force identification. Mechanical Systems and Signal Processing, 124, 275-297. https://doi.org/10.1016/j.ymssp.2018.11.038

Inverse problems are widely encountered in fields as diverse as physics, geophysics, engineering and finance.
In the present paper, a covariance based framework for the estimation of their uncertainty is presented and applied to the problem of inve... Read More about A covariance based framework for the propagation of uncertainty through inverse problems with an application to force identification.