The massive growth of data produced in the automotive industry by acquiring data during
production and test of vehicles requires effective and intelligent ways of analysing these …

Abstract Machine learning can be used to automatically process sensor data and create
data-driven models for prediction and classification. However, in applications such as fault …

Lithium-ion (Li-ion) batteries play an important role in providing necessary energy when
acting as a main or backup source of electricity. Indeed, the unavailability of battery aging …

Model-based diagnosis methods rely on a model that defines nominal behavior of a
dynamic system to detect abnormal behaviors and isolate faults. On the other hand, data …

Adaptive structures can react to environmental impacts and can significantly improve the
load-bearing behavior of, eg, building structures. For building structures, reliability and …

The reliability of gas insulated switchgear (GIS) is very important for the safe operation of
power systems. However, the research on potential faults of GIS is mainly focused on partial …

Adaptive buildings offer an enormous potential for saving resources and reducing emissions
due to their ability to actively compensate deformations, which allows for a significantly …

The controller area networks (CAN) in the braking control system of metro trains are used to
transmit the important control instruction and condition information, whose anomaly will …

The complexity of vehicles has increased over the last years and will continue to do so.
Hence, repairs in repair shops become more and more complex and thereby time …

Featured Application The proposed hybrid method may achieve a better performance than a
single algorithm in any fault classification problem. Abstract Aerospace systems are …