专题：Engineering Diagnostics and Reliability

This cluster of papers focuses on materials engineering in industrial applications, particularly in the fields of corrosion, steel strength, pipeline durability, deformation processes, and industrial safety. It addresses issues such as fatigue, electrochemical parameters, friction welding, and heat resistance in various mechanical components and equipment used in oil and gas, power generation, and other industrial sectors.
最新文献
Study of Modern Methods of Removing Deposits Formed in Oil Equipment and Pipes

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THE GATHERING OF A DATASET FOR TUNNELS AND THE ASSESSMENT OF PREDICTED CONSTRUCTION DELAY MODELS UTILIZING REGRESSION AND ADAPTIVE BOOSTING TECHNIQUES

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A novel domain generalization network integrating invariance and cohesiveness for rolling bearing fault diagnosis

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Few-Shot Cross-Domain Fault Diagnosis of Transportation Motor Bearings Using MAML-GA

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Intelligent Fault Diagnosis of Rolling Bearings Based on Digital Twin and Multi-Scale CNN-AT-BiGRU Model

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Fault diagnosis model of digital twin technology for CNC machine tool feed system based on CA-GRU-PINN

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Digital twin-driven feature enhancement generative adversarial network for rolling bearings fault diagnosis

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Temporal latent diffusion model for machine degradation trend forecasting

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The lifespan penalties of a steam Turbine’s governing stage rotor blade during the rapid peak shaving of new power system

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Frequency spectrum-based diagnosis of structural gear faults using dual-sensor acoustic and vibration signals

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近5年高被引文献
A review of the application of deep learning in intelligent fault diagnosis of rotating machinery

review Full Text OpenAlex 576 FWCI65.8676

Feature Mode Decomposition: New Decomposition Theory for Rotating Machinery Fault Diagnosis

article Full Text OpenAlex 400 FWCI44.033

CNN parameter design based on fault signal analysis and its application in bearing fault diagnosis

article Full Text OpenAlex 365 FWCI67.6288

Prediction of remaining useful life based on bidirectional gated recurrent unit with temporal self-attention mechanism

article Full Text OpenAlex 352 FWCI40.6366

Artificial intelligence systems for tool condition monitoring in machining: analysis and critical review

article Full Text OpenAlex 317 FWCI30.0273

Multi-mode data augmentation and fault diagnosis of rotating machinery using modified ACGAN designed with new framework

article Full Text OpenAlex 306 FWCI36.0698

Multi-fault diagnosis of Industrial Rotating Machines using Data-driven approach : A review of two decades of research

review Full Text OpenAlex 256 FWCI47.4034

A systematic review of rolling bearing fault diagnoses based on deep learning and transfer learning: Taxonomy, overview, application, open challenges, weaknesses and recommendations

review Full Text OpenAlex 251 FWCI29.0085

Fault Diagnosis and Fault-Tolerant Control of PMSM Drives–State of the Art and Future Challenges

article Full Text OpenAlex 243 FWCI29.0503

Attention mechanism in intelligent fault diagnosis of machinery: A review of technique and application

review Full Text OpenAlex 239 FWCI27.69