Online NVH Data Pattern Analysis through Telematics

As noise levels within vehicle cabin plays very crucial part in purchasing commercial vehicles, reducing same through online Telematics data pattern analysis techniques during design and development phase is a key. The NVH validation technique with multichannel approach for capturing vibration and noise data at higher sampling frequency during design and validation differentiates from traditional manual approach. The framework uses online data collection at remote server and comparing same with decided rules, thresholds makes same easy for analysis. The hardware contains high speed processor, higher resolution ADC-Analog to Digital converter and multiple IOs for sensor integration. The system server has ability to collect in near real time with less latency and quite accurate at the noise making components like moving parts inside cabin. The online server data in turn will be useful to understand the pattern analysis after certain time, distance and at different terrains (hills/highway/city etc.). This will also indicates the load profile basis on the torque requirement from vehicle EMS ECU data at given point in time and its equivalent NVH effects at different parts in vehicle. This gives effective parts quality degradation w.r.to NVH levels and quick reduction of same is possible with online data available to SME. The technique involves non parametric pattern recognition and comparison with sensory data collected from different points in cabin. Streaming server along with data mining approach suggested in architecture ensures higher data throughput with quality which is very essential for precision NVH measurements and calibrations. The data characteristics can be plotted and visualize in very precise manner.