Article
Investigation of different Class Structures for Detection and Classification of Gearing Damages in a two-stage Planetary Gearbox of an electrically driven Wheel Drive (en)
* Presenting author
Abstract:
In today's port operations, the idle periods of container ships should be minimized for economic reasons. Therefore, bottlenecks in the logistical processes of the port operation should be avoided. To guarantee an efficient operation, it is important to prevent unplanned breakdowns of the port vehicles. Most of the unplanned breakdowns can be attributed to wear on the gearing components of the two-stage planetary gearbox due to the rough and demanding operating conditions. A condition monitoring of the gearing components is therefore indicated and realized by using vibration sensors. Within the scope of monitoring, the discrepancy in upcoming wear is the main problem. To solve this problem, upper classes trained by known wear cases of the gear components should be built to enable the evaluation of untrained new wear cases. To realize this, multiple upper classes are possible and should be chosen based on the requirements of the applicator. In this contribution, a comparison of possible upper classes will be made by implementing and evaluating each of them for a classification system. Several reliably classifiable class structures can be implemented, allowing a selection to be made according to the individual application.