Various faults in the lithium-ion battery system pose a threat to the performance and safety of
the battery. However, early faults are difficult to detect, and false alarms occasionally occur …

Structural analysis, a model-based fault diagnosis approach, has been extensively
highlighted since it does not depend on an exact analytical system model. The structural …

Selecting residual generators for detecting and isolating faults in a system is an important
step when designing model-based diagnosis systems. However, finding a suitable set of …

Proton exchange membrane fuel cells (PEMFCs) are considered as one of the most
promising power sources for transportation in the near future. Proper and robust thermal …

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 …

Fast and efficient fault monitoring and diagnostics methods are essential for fault diagnosis
and prognosis tasks in Health Monitoring Systems. These tasks are even more complicated …

Wind energy is the leading non-hydro renewable technology. Increasing reliability is a key
factor in reducing the downtime of high-power wind turbines installed in remote off-shore …

The pulse rectifier of a traction system in locomotives and electric multiple unit (EMUs) is
usually vulnerable to performance degradation and faults due to uncertain factors, such as …

Data-driven fault classification in industrial applications is complicated by unknown fault
classes and limited training data. In addition, different faults can have similar effects on …

The work presented in this article is motivated by a project related to the electrification of
commercial aircraft. Energy storage systems (ESSs) for hybrid-electric aircraft applications …