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
Multi-Sensor data fusion in intelligent fault diagnosis of rotating machines: A comprehensive review

review Full Text OpenAlex

Investigation of fatigue characteristics of asphalt mixtures under tensile and compressive alternating loads

article Full Text OpenAlex

Remaining Life Prediction of Rolling Bearings Based on Unsupervised Anomaly Detection and STA-BiLSTM

article Full Text OpenAlex

An Adaptive Gaussian-Guided Feature Alignment Network for Cross-Condition and Cross-Machine Fault Diagnosis of Rolling Bearings

article Full Text OpenAlex

Fuzzy Logic Controller for Power Control of an Electric Arc Furnace

article Full Text OpenAlex

A hybrid algorithm for predicting the remaining service life of hybrid bearings based on bidirectional feature extraction

article Full Text OpenAlex

Comprehensive Analysis of Major Fault-to-Failure Mechanisms in Harmonic Drives

article Full Text OpenAlex

Internal defect detection model based on laser ultrasonic signal decomposition and deep learning

article Full Text OpenAlex

Fault prognosis of wind turbines using multimodal machine learning

article Full Text OpenAlex

Broad Distributed Game Learning for intelligent classification in rolling bearing fault diagnosis

article Full Text OpenAlex

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 508 FWCI75.83314937

A novel time–frequency Transformer based on self–attention mechanism and its application in fault diagnosis of rolling bearings

article Full Text OpenAlex 411 FWCI33.47389304

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

article Full Text OpenAlex 333 FWCI49.70952508

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

article Full Text OpenAlex 324 FWCI48.3660244

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

article Full Text OpenAlex 310 FWCI77.14446124

Intelligent fault diagnosis of rotating machinery based on continuous wavelet transform-local binary convolutional neural network

article Full Text OpenAlex 309 FWCI32.94256141

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

article Full Text OpenAlex 294 FWCI36.35288872

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

article Full Text OpenAlex 285 FWCI42.54418813

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 232 FWCI34.63246192

Fault diagnosis for small samples based on attention mechanism

article Full Text OpenAlex 226 FWCI17.9324427