Predictive maintenance (PdM) is a policy applying data and analytics to predict when one of
the components in a real system has been destroyed, and some anomalies appear so that …

The adoption of autonomous delivery robots (ADRs) across various delivery applications
has rapidly accelerated in recent years. This growth can be attributed to advancements in …

Road transport is the most prone to accidents, resulting in significant fatalities and injuries. It
also faces a plethora of never-ending problems, such as the frequent loss of lives and …

As the world becomes increasingly urbanized, the development of smart cities and the
deployment of IoT applications will play an essential role in addressing urban challenges …

Complex energy monitoring and control systems have been widely studied as the related
topics include different approaches, advanced sensors, and technologies applied to a …

The air conditioning systems in electric city buses usually operate in rapidly changing
ambient conditions and are more likely to suffer from mechanical faults. Although many fault …

The concept of predictive and preventive maintenance and constant monitoring of the
technical condition of industrial machinery is currently being greatly improved by the …

Conventional fault diagnosis systems have constrained the automotive industry to damage
vehicle maintenance and component longevity critically. Hence, there is a growing demand …

The world is on the verge of fully ushering in the fourth industrial revolution, of which artificial
intelligence (AI) is the most important new general-purpose technology. Like the steam …

We deal with the problem of predictive maintenance (PdM) in a vehicle fleet management
setting following an unsupervised streaming anomaly detection approach. We investigate a …