Faults that develop in vehicle sensors have the potential to propagate unchecked
throughout control systems if undetected. Automatic fault diagnosis and health monitoring …

Inferential sensing is a cost-effective and reliable approach to replace expensive and
impractical hardware sensing, while yielding robust fault detection and isolation (FDI) during …

The efficiency of a binary support vector machine‐(SVM‐) based classifier depends on the
combination and the number of input features extracted from raw signals. Sometimes, a …

Fault diagnostic methods with fuzzy logic methods, SVM, KNN and artificial intelligence
systems have been used in complex systems such as wind turbines, gas turbines, power …

Cyber-Physical System (CPS) emerges as a potential direction to improve the applications
relating to object-to-object, human-to-human and human-to-object communications in both …

The utility of the deployment of IoT sensor nodes in Smart Cities is mainly dependent on the
accurate data generated by the sensors. Hence, automatic detection of sensor faults and self …

We present a hybrid scheme for prognostics and system health management, which
combines system modeling methods and regression-based approaches. Along these lines …

Wide-area system data acquired by wide-area monitoring systems can be utilized to gain
knowledge about the system states and its conditions. Data analytic methods are used to …

Efficient and accurate fault diagnosis of satellite attitude control system has an important role
and significance to ensure the reliability of satellites in orbit. Recent researches on satellite …

Fault detection is a key element to ensure continuous operation of equipment. It is important
to detect new emerging fault types of equipment in time and classify it. Existing fault …