Maximize your NVH measurement quality
Current NVH measurement processes have been around since decades and do not leverage the possibilities that general advances in technology have to offer. There must be another way, right? In this article we look into regularly used measurements, the facets of those processes that could be improved, and the new way of maximizing your NVH measurement quality (using DIRAC).
How it’s done now
Typically, current measurement set-ups are described using Excel-style lists and hundreds of (detailed) photos serve as backup in case questions ever come up. With each measurement campaign a vast amount of data is generated. Some automated checks are performed (overloads, double pulses), but in the end it’s up to the test engineer to check all individual results. An impossible task.
Because the engineer can simply not check all the data, there are many unknown-unknowns after a measurement campaign: no-one knows if there are errors in the acquired data. This has two effects: 1) when discussing anomalies there is a debate around the measurement quality rather than the observations, and 2) measurement data is hardly re-used, because of a lack of trust in already acquired data.
A new way for test-based sound & vibration measuring
Every engineer should be able to do complex analyses ‘first time right’ in a fast, smart and simple way. Think of all the benefits of solving vibration problems before physical prototypes are built, instead of in the late and expensive phase of troubleshooting.
For that, VIBES develops intuitive and user-friendly applications (e.g. DIRAC) and provides training & consulting for performing high-accuracy, traceable measurements of the NVH characteristics of (car) components and subsystems. In order to obtain the best possible quality of your measurement, the VIBES approach includes checks on every level: Starting from the Measurement Preparation with DoF contribution insights, with Signal Checks, with classical FRF checks (passivity, coherence), all the way up to checks on the resulting Model using the Virtual Point Quality indicators on Reciprocity and Consistency.