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Transfer function measurements are the basis for construction of conventional test based source-path-receiver model of a vehicle. Interior noise of a vehicle can be synthesized using source excitation (both acceleration at source and near source sound pressure level) and its corresponding transfer function (Vibro-Acoustic Transfer Function (VATF) and Acoustic Transfer Function (ATF) respectively) to the interior of vehicle. Ideally ATF should be linear and independent of sound source, dependent only on size of air cavities, body structure and its material characteristics in between receiver and source location. But practically because of the type of excitation signal used to excite the sound source and characteristics of sound source itself, there is a possibility of variations in amplitude of acoustic transfer function.

The demand for comfort level in commercial vehicles is steadily increasing. Hence, fine-tuned performance parameters and attributes are required to fulfill the expectations from these vehicles. Refinement of noise and vibration without affecting performances of sub-systems and components has become extremely challenging with increasing customer requirements. This paper presents an approach to identify and reduce the high level whistling noise that was perceived in the passenger compartment while the vehicle was accelerated above 50 kmph. Interior noise measurements in static engine run-up condition reveal that the whistling noise is of specific order. Since, whistling noise is related to aerodynamic response of components, engine cooling fan, turbo charger, alternators and compressors were suspected. Using order tracking and near field measurements, HVAC alternator was confirmed as the main cause for whistling noise.

Pass-By-Noise (PBN) requirements area an important aspect of NVH development of a commercial vehicle. The PBN on an Intermediate commercial vehicle (ICV) with refrigerator container was the subject of this study. This vehicle emitted PBN greater than accepted threshold due to its configuration. The overall approach to identify the sources and contributors for PBN was to test the vehicle in its baseline condition as well as with improvements. Near source noise measurements were performed at all potential noise contributors. A windowing technique was used to identify the potential noise sources. This Windowing technique is the exposing of each individual noise source while keeping all others shielded. This technique is reliable and quickly reveals significant noise contributors. Improvements to noise sources were reviewed for effectiveness to the overall PBN and overall recommendations were made.