Conveners
Predictive Maintenance and Reliability Special Session
- Chair: Nikolaus Haselgruber (CIS consulting in industrial statistics GmbH)
The development of drive assist systems, such as traffic sign recognition and distance regulation, is one of the most important tasks on the way to autonomous driving. With focus on the definition of reliability as the ability to perform a required function under specific conditions over a given period of time, the most challenging aspect appears to be the description of the usage conditions....
In the development process of railway vehicles several requirements considering reliability and safety have to be met. These requirements are commonly assessed by using Multi-Body-Dynamics (MBD) simulations and on-track measurements.
In general, the vehicle/track interaction is significantly influenced by varying, unknown or non-quantifiable operating conditions (e.g. coefficient of friction)...
Non-linear predictive machine learning models (such as deep learning) have emerged as a successful approach in many industrial applications, as the accuracy of predictions often surpasses classical statistical approaches in a significant, and also effective way. Predictive maintenance tasks (such as predicting change points or detecting anomalies) are particularly susceptible to this...