Local discriminant bases in machine fault diagnosis using vibration signals
Integrated Computer-Aided Engineering
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In order to detect knock in spark ignition engines, usually structure-borne sound signals measured by acceleration sensors mounted on the engine housing are analyzed. Earlier investigations have shown that using linear, time variant filtered structure-borne sound signals as an approximated pressure signal instead improves knock detection significantly. But this method is computationally too expensive for application in production vehicles. We propose to fit suitable pattern signals to structure-borne sound and use the estimated scaling parameters to approximate pressure. The new approach is applied to knock detection with measured data.