The current context of the automotive sector leads to continuous improvement. For all customers, the quality of THSYS products passes by an acoustic comfort. Therefore, a large part of THYS production requires acoustic control.
Today, to make an acoustic control on our steering gears, a workstation uses accelerometers to measure the noise caused by the mechanical linkages and is able to determine if the product respect the acoustic limits. In case of defect, there is a need to identify which component from the assembly is responsible of the acoustic defect, so, that after a specific treatment and analysis of the signal, component as the root cause can be isolated.
| Country: | FR |
| Address: | Rue Lavoisier 8, Florange 57190 |
A correlation is realized within the production line between the overall process parameters and the product characteristics which are monitored at the end of the line in specific control modules.
With the help of INTRASOFT algorithm, several optimization are suggested for process parameters in order to optimize the final control workstation and to diminuate scraps and rework parts.
In addition to that, we can use CEA non-intrusive assets aquisition system to localize machine-oriented rootcauses (process deviation due to mechanical issue in the workstation for instance). This could lead to quickly identify a rootcause and to implement corrective actions effectively.
The non-intrusive notion comes from the fact that the asset monitoring (which can be a vibration from an accelerometer, a current, a temperature, ...) does not require any heavy integration, even the link with PLC is simplified with a standard exchange table for record triggers and the part informations.
At a certain point of integration, the correlation between overall process parameters and the output product characteristics could be realized in real time in order to adjust, without any Human action, the different parameters along the production line.
This is the ideal towards which we wish to achieve with our future production lines.
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Complete machine parameters correlation is realized, allowing machine operators to take into account all the assets from each workstation of the production line. It enhances its capacity in relation to conventional analytics methods.