An earlier combined vibration and temperature analysis technique for rotating machinery fault diagnosis produced good results. This was, however, applied to a rotating machinery experimental rig operating at a constant speed. In the current study, using a similar approach, vibration data and temperature measurements obtained at different steady state rotating speeds for different fault conditions namely; crack, misalignment and rub, are fused together in a single analysis step. The objective in this case is to develop a computationally efficient fault diagnosis technique that can exploit data measured at different rotating speeds. The result obtained is an easily interpreted diagrammatical representation that shows clear discrimination between the different fault conditions tested and the healthy condition, thus offering the potential for practical application on variable speed machinery such as aero-engines.

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