Abstract Intelligent Fault-Tolerant Control (IFTC) refers to the applications of machine
learning algorithms for fault diagnosis and design of Fault-Tolerant Control (FTC). The …

Bearings are the core components of rotating machinery and are vulnerable to failure. Early
fault prediction is a significant and challenging task for bearing due to the weakness of fault …

Rotor systems are of considerable importance in most modern industrial machinery, and the
evaluation of the working conditions and longevity of their core component—the rolling …

Rolling bearing remaining useful life (RUL) prediction is crucial for ensuring reliability and
developing maintenance strategies. However, current researches on data-driven RUL …

An effective feature vector generation approach is herein presented based on the
cointegration concept and the signal processing methods in order to improve varying speed …

Dimensional synthesis of crank-rocker mechanisms applied to provide some desired values
of stroke and time ratio, is of utmost importance for designing an efficient mechanism. In the …

In this study, an analytical approach based on bi-level multi-objective game theory is
proposed and implemented for dimensional synthesis of the planar crank-rocker four-bar …

The fault diagnosis is always a key issue in the security field of marine propulsion system.
There are obvious problems like the unsteady working of sensors, distortion of original data …

在对矿山机械装备中使用的轴承进行故障诊断时, 易受噪声干扰及多变工况的影响,
同时也难以适应不同诊断任务, 针对这一系列问题, 提出了一种基于分支卷积神经网络(B-CNN) …

Condition monitoring (CM) is a preventive maintenance technique that helps in reducing the
operation and maintenance costs of industrial machines. Integrated CM (ICM) uses data …