Two spatial filters are formulated for the application of component health monitoring. Typically, noise and transmission path errors make it difficult, to extract a component defect signature from a structure. The spatial filters developed here are capable of enhancing signals arising from a particular component of a structure, resulting in an improved signal-to-noise ratio. The input to either filter is a set of physical responses from an array of transducers spatially separated on the structure. The transducer outputs are combined using previously generated weighting coefficients, which contain spatial and temporal characteristics. Filter outputs correspond to sets of component input forces, which may then indicate component defects. The filters are applied to an analytical model to convey the basic concepts of spatial filtering. An example is presented for determining bearing defect signal location of an experimental rotating test rig.
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