Industrial processes are nonlinear and complicated in nature, requiring accurate fault
detection to minimize the deterioration in performance and to respond quickly to …

The Valley of Death confronts industrial biotechnology with a significant challenge to the
commercialization of products. Fortunately, with the integration of computation, automation …

The article focuses on developing a specialized prognostics system for motor bearings to
ensure the safety and reliability of motors and generators. Timely maintenance improves …

In the process of penicillin fermentation, there is a strong nonlinear relationship between the
input eigenvector and multiple output vectors, which makes the prediction accuracy of the …

The article presents a framework for fault detection and classification to monitor the condition
of motor bearings under multiple operating conditions. The condition monitoring of motor …

Background In response to the challenge that traditional fault diagnosis models are difficult
to maintain satisfactory accuracy when data distribution changes due to changes in process …

The article introduces a hybrid fault detection and prognosis system design for motor
bearings, which is crucial for the reliability and efficiency of rotating machinery. The focus is …

Due to the presence of actuator disturbances and sensor noise, increased false alarm rate
and decreased fault detection rate in fault diagnosis systems have become major concerns …

发酵过程的状态监测对于及时发现各类异常故障起到了至关重要的作用. 然而,
由于发酵过程数据呈现非线性特性, 导致在提取特征信息时存在困难, 增加了故障监测的难度 …

Conventional signal-based induction motor (IM) fault detection and isolation (FDI), such as
motor current signature analysis (MCSA), is inadequate because it relies on the small …