Fault diagnosis
基于动态聚类联邦学习的轴承故障诊断方法-河南理工大学
马新娜, 李豪.基于动态聚类联邦学习的轴承故障诊断方法 [J].河南理工大学学报（自然科学版）,2025,44 (5):1-8. MA X N, LI H. Bearing fault diagnosis method based on dynamic clustering
Health status assessment and fault diagnosis system for
The findings demonstrate that the main transformer health status assessment and fault diagnosis system based on acoustic signals constructed in this article shows high accuracy and recall
US$129 THINKCAR THINKTPMS G1 Tire Pressure
Thinktpms G1 is a new generation of tire pressure diagnosis tool, which can realize Sensor Activation, Sensor Programming, Sensor Learning, Tire Pressure Fault Diagnosis. It can be connected to Thinkdiag APP via Bluetooth and used
T/CIE 123-2021 工业机器人故障诊断与预测性维护 第3部分
本标准规定了工业机器人故障诊断的通用要求、控制异常报警、在线异常识别、离线测试诊断、故障排查表等内容。 本标准适用于工业机器人的故障诊断。 工业机器人故障诊断
Multimodal Data Enhanced Wind Generator Fault Diagnosis
Data-driven methodologies are effective tools for diagnosing frequent occurrences of static air-gap eccentricity (SAGE) and stator interturn short circuit (SISC) faults of generators. Nonetheless,
JC/T 2876-2025 辊压机用减速机在线监测与故障诊断技术规范
辊压机用减速机在线监测与故障诊断技术规范, Technical specifications for on-line monitoring system and fault diagnosis of roller press reducer, 提供JC/T 2876-2025的发布时间
Hybrid Attention-Driven Convolutional Adversarial Network
Acoustic features have gained widespread popularity in machinery fault diagnosis owing to their benefits of non-contact measurements and low cost. However, most acoustic diagnostic
Fault Diagnosis of Bogie Bearings in High-Speed Train: A
Download Citation | Fault Diagnosis of Bogie Bearings in High-Speed Train: A Review | Bearings enable flexible movement of various components in the bogie section while ensuring sufficient
Multi-Source Joint Adaptive Distribution With Online
Methods based on transfer learning have achieved rich research results in the field of intelligent diagnosis of mechanical devices. However, current transfer learning methods typically require
A Fault Diagnosis Method for Planetary Gearboxes Using an
Effective fault feature extraction and classification methods serve as the foundation for achieving the efficient fault diagnosis of planetary gearboxes. Considering the vibration signals of
FSFDS: enhancing flight sensor fault diagnosis via diffusion
Aircraft fault diagnosis relies on flight sensor data, with accuracy critical for safe operation. Deep neural networks (DNNs) have shown success in many fields, but their application in fault
Efficient Wind Turbine Fault Diagnosis Using Machine
Overall, this methodology provides a novel framework for fault prediction of wind farm generators using dissimilar data and fewer features than necessary, which could potentially lead to more
Research on Rolling Bearing Fault Diagnosis Based on
Aiming at the shortcomings of traditional Transformer models in rolling bearing fault diagnosis, such as insufficient structural relationship modeling capability and poor noise robustness, this
Research on Mechanical Fault Diagnosis Method of Isolation
This study presents a Variational Autoencoder (VAE)-based framework for the unsupervised mechanical fault diagnosis of high-voltage isolation switches. By analyzing voltage and current
Padé Approximant Neural Networks for Enhanced Electric Motor Fault
Purpose: The primary aim of this study is to enhance fault diagnosis in induction machines by leveraging the Padé Approximant Neuron (PAON) model. While accelerometers and
Switching Signals Analysis for Online Stator Fault Diagnosis
This article proposes the use of inverter switching signals in the diagnosis of interturn short circuit faults and high-resistance connections in asymmetrical six-phase induction motor drives using
Research on sensor fault diagnosis based on
Research on sensor fault diagnosis based on multisource information fusion decisions considering the characteristics of arch dams - Jianghan Xue, Pengtao Zhang, Yanling Li, Yazi Xiao, Xiang Lu, Chen Chen, Zefa Li, Jiankang Chen,
Vehicle Diagnostics Tutorial
Vehicle diagnostics is the process of identifying, analyzing, and troubleshooting issues or faults within the electronic systems of a vehicle. It involves using specialized diagnostic tools, software, and equipment to access
A Comprehensive Guide to Electrical Fault Finding | EA Electrics
Electrical fault finding is the process of identifying and resolving issues in electrical systems. Common types of electrical faults include short circuits, overloads, and earth faults.
Research on Industrial Process Fault Diagnosis Method
With the rising automation and complexity level of industrial systems, the efficiency and accuracy of fault diagnosis have become a critical challenge. The convolutional neural network (CNN)
IFDA: Intermittent Fault Diagnosis Algorithm for Augmented
Fault diagnosis technology is a crucial technique for ensuring the reliability of multiprocessor systems. Many previous studies have paid close attention to the permanent faults of systems
GJB 7893.10-2021 卫星在轨测控管理规程 第10 部分：故障
GJB 7893.10-2021 卫星在轨测控管理规程 第10 部分：故障诊断与预测 Satellite on-orbit measurement and control management procedures Part 10: Fault diagnosis and prediction
In-Wheel Motor Fault Diagnosis Method Based
To address the challenge of fault diagnosis for in-wheel motors in four-wheel independent driving systems under variable driving conditions and harsh environments, this paper proposes a novel method based on two-stream
