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How will a mechanic troubleshoot the heavy duty vehicle of the future? Will he or she have to be both retriever and integrator of data collected from multiple black boxes on the vehicle? How many tools will it take? Is there a definition of a vehicle system “diagnostic environment” that needs to be developed in order to create a solution to this problem? This paper will attempt to create the system focus for vehicle diagnostics that is required if this industry is to successfully produce the integrated electronic vehicle of the future. Both the on-board and off-board requirements of the diagnostic environment will be examined.

This paper documents an inverse visible element Rayleigh integral (VERI) approach. The VERI is a fast though approximate method for predicting sound radiation that can be used in the place of the boundary element method. This paper extends the method by applying it to the inverse problem where the VERI is used to generate the acoustic transfer matrix relating the velocity on the surface to measurement points. Given measured pressures, the inverse VERI can be used to reconstruct the vibration of a radiating surface. Results from an engine cover and diesel engine indicate that the method can be used to reliably quantify the sound power and also approximate directivity.