Process fault detection and diagnosis (FDD) is a predominant task to ensure product quality
and process reliability in modern industrial systems. Those traditional FDD techniques are …

The failure of a rolling bearing may cause the shutdown of mechanical equipment and even
induce catastrophic accidents, resulting in tremendous economic losses and a severely …

Sensitive feature extraction from the raw vibration signal is still a great challenge for
intelligent fault diagnosis of rolling bearing. Current fault classification framework generally …

Process monitoring is crucial for maintaining favorable operating conditions and has
received considerable attention in previous decades. Currently, a plant-wide process …

In recent few years, the antenna and sensor communities have witnessed a considerable
integration of radio frequency identification (RFID) tag antennas and sensors because of the …

Abstract Fault Diagnosis and Health Monitoring (FD-HM) for modern control systems have
been an active area of research over the last few years. Model-based FD-HM computational …

Noise and high-dimension of process signals decrease effectiveness of those regular fault
detection and diagnosis models in multivariate processes. Deep learning technique shows …

Safe and stable operation plays an important role in the chemical industry. Fault detection
and diagnosis (FDD) make it possible to identify abnormal process deviations early and …

As the development of Yangtze River Delta urban agglomeration has been upgraded to a
national level development strategy in China, relevant regions need to pay more attention to …

The ever-increasing functional density and complexity of the satellite systems, the harsh
space flight environment, as well as the cost reduction measures that require less operator …