This paper provides a comprehensive survey on the state-of-the-art condition monitoring
and fault diagnostic technologies for wind turbines (WTs). The Part I of this survey briefly …

Fault Detection and Isolation (FDI) is important in many industries to provide safe operation
of a process. To determine the kind, size, location and time of fault, many Fault detection and …

In this paper, an online fault detection and classification method is proposed for
thermocouples used in nuclear power plants. In the proposed method, the fault data are …

Nuclear power plants are critical facilities, which can generate a lot of energy through
nuclear power and reduce environmental pollution. At the same time, should an accident …

Prognostics and Health Management (commonly called PHM) is a field that focuses on the
degradation mechanisms of systems in order to estimate their health status, anticipate their …

The development of Digital Twins (DTs) has bloomed significantly in last years and related
use cases are now pervading several application domains. DTs are built upon Internet of …

The principal component analysis (PCA) method has been widely used in sensor fault
detection. However, outliers of training data may affect the projection directions of both …

The on-board sensor fault detection and isolation (FDI) system is essential to guarantee the
reliability and safety of an aero engine. In this paper, a novel online sequential extreme …

Currently, in modern wind farms, the doubly fed induction generator (DFIG) is commonly
adopted for its ability to operate at variable wind speeds. Generally, this type of wind turbine …

In this paper, a new algorithm for detecting and identifying faults in a UAV system is
proposed, this algorithm uses Color Images obtained from Time-Frequency-Amplitude …