Safety and reliability are absolutely important for modern sophisticated systems and
technologies. Therefore, malfunction monitoring capabilities are instilled in the system for …

Fault detection has been an active research field and increasingly important for the safety of
technical processes and systems. A variety of fault detection methods have been developed …

Recent years have witnessed an increased attack surface of the Industrial Internet of Things
(IIoT), as the deep convergence of the Internet of Things (IoT) and other information and …

Intrusion detection systems are crucial in fighting against various network attacks. By
monitoring the network behavior in real time, possible attack attempts can be detected and …

In this paper, a new supervised learning classification method, continual learning
classification method with new labeled data based on the artificial immune system …

A negative selection algorithm generates detectors to realize abnormality detection by
simulating the maturation process of T cells in human immunity. Holes are areas of feature …

In this paper, a model-based fault detection and isolation (FDI) method is presented using
an adaptive system identification approach. The proposed FDI method consists of three …

In actual engineering applications, inevitable noise seriously affects the accuracy of fault
diagnosis for rotating machinery. To effectively identify the fault classes of rotating machinery …

The negative selection algorithm (NSA) is an important algorithm for generating immune
detectors in artificial immune systems. However, the original NSA randomly generates …

Currently, major classification methods belong to batch learning methods, which need to
obtain all data once before learning. However, in practice, it is usually difficult to handle all …