Quality assurance (QA) plays a crucial role in manufacturing to ensure that products meet
their specifications. However, manual QA processes are costly and time-consuming, thereby …

The additive noise in the condition monitoring system using fiber Bragg grating (FBG)
sensors, including white Gaussian noise and multifrequency interference, has a significantly …

Condition-monitoring and anomaly-detection methods used for the assessment of wind
turbines are key to reducing operation and maintenance (O&M) cost and improving their …

To overcome the incomplete decomposition of vibration signals in traditional motor-bearing
fault diagnosis algorithms and improve the ability to characterize fault characteristics and …

In this study, a predictive maintenance (PdM) system focused on feature selection for the
detection and classification of simulated defects in wind turbine blades has been developed …

This paper presents a solution for the detection of bearing outer and inner race faults using a
Convolutional Neural Network (CNN) that directly analyzes raw data. Our proposed …

为保证旋转机械安全稳定运行和实现轴承早期疲劳损伤阶段故障诊断, 提出了改进自适应白噪声
平均总体经验模态分解(CEEMDAN) 与卷积神经网络融合的故障诊断方法. 通过CEEMDAN …

The self-excited acoustical system is a system for indirect determination of stresses in
mechanical structures. It uses the phenomenon of self-excitation of the sent acoustic wave in …

Overhead cranes are a key component of many industrial processes, enabling the rapid and
safe transportation of loads. An important aspect of their operation is reliability, including …

Друковані плати є основними компонентами сучасної електроніки, забезпечуючи
компактність, надійність і високу продуктивність електронних схем. Їх точне …