Standard hydraulic breaking hammers are widely used for crushing oversized blasted
materials and concrete structures demolition in industry. These hammers, installed in on …

Industry 4.0 is strongly intertwined with big data streaming flows from intelligent sensors and
machinery installed in industrial facilities. Failures can disrupt production and lead the …

Abstract Health Indicators (HIs) have been widely used for health state assessments. In
many applications, HI with physical meaning is a preferred choice to assist system health …

In the present paper, a manufacturing cell in the presence of faults, coming from the devices
of the process, is considered. The modular modeling of the subsystems of the cell is …

Electromechanical actuators (EMAs) are safety-critical components that work under various
conditions and loads. Realizing robust and precise fault diagnosis for an EMA increases the …

Industrial Internet of Things (IIoT) connects machines, and it is important to build intelligent
models to prevent machine failures by identifying incipient faults. To develop intelligent fault …

Data-based methods are capable to monitor machine components. Approaches for semi-
supervised anomaly detection are trained using sensor data that describe the normal state …

The high-speed train (HST) air brake system (ABS) is crucial to guarantee a safe and
reliable operation environment for passengers on board. Recently, a novel combined index …

In this paper, the joint state and fault estimation problem for a class of discrete-time complex
networks with time delays is investigated. The information on the dynamics of the fault is not …

Unforeseen machine tool component failures cause considerable losses. This study
presents a new approach to unsupervised machine component condition identification. It …