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The development of automated pattern recognition and statistical feature isolation techniques for the diagnosis of reciprocating machinery faults using acoustic emission
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El-Ghamry M.H., Reuben R.L., and Steel J.A. The development of automated pattern recognition and statistical feature isolation techniques for the diagnosis of reciprocating machinery faults using acoustic emission. Mechanical Systems and Signal Processing 17 (2003) 805-823
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ASTM E976-99: standard guild for determining the reproducibility of acoustic emission sensor response
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Diesel injector dynamic modelling and estimation of injection parameters from impact response. Part I; modelling and analysis of injector impacts
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R. M. Douglas, D.A. Hymers, J.A. Steel, R.L. Reuben, Source identification of piston ring and cylinder liner interaction using acoustic emission. COMADEM04, Cambridge, September 2004, pp. 305-314.
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