专题：Reliability and Maintenance Optimization

This cluster of papers focuses on reliability engineering and maintenance optimization, covering topics such as degradation modeling, condition-based maintenance, multi-state systems, prognostic models, accelerated degradation tests, risk-based maintenance, stochastic modeling, and system reliability. The papers explore various methods and strategies for optimizing maintenance policies and improving the reliability of deteriorating systems.
最新文献
A review on physics-informed data-driven remaining useful life prediction: Challenges and opportunities

review Full Text OpenAlex

Research on Inconsistency Evaluation of Retired Battery Systems in Real-World Vehicles

article Full Text OpenAlex

Developing a bi-objective maintenance optimization model for process industries by prioritizing resilience and robustness using dynamic Bayesian networks

article Full Text OpenAlex

Micro-short circuit fault diagnosis of the parallel battery module based on increment capacity curve

article Full Text OpenAlex

Classical and Bayesian inference of inverted modified Lindley distribution based on progressive type-II censoring for modeling engineering data

article Full Text OpenAlex

Non-renewable warranty cost analysis for dependent series configuration with distinct warranty periods

article Full Text OpenAlex

Predictive Failure Analytics in Critical Automotive Applications: Enhancing Reliability and Safety through Advanced AI Techniques

article Full Text OpenAlex

Bayesian and classical inference of the process capability index under progressive type-II censoring scheme

article Full Text OpenAlex

Remaining useful life prediction and cycle life test optimization for multiple-formula battery: A method based on multi-source transfer learning

article Full Text OpenAlex

Bearing remaining useful life prediction with an improved CNN-LSTM network using an artificial gorilla troop optimization algorithm

article Full Text OpenAlex

近5年高被引文献
Offshore wind turbine operations and maintenance: A state-of-the-art review

review Full Text OpenAlex 476 FWCI61.48768383

Improved anti-noise adaptive long short-term memory neural network modeling for the robust remaining useful life prediction of lithium-ion batteries

article Full Text OpenAlex 437 FWCI43.68048221

Predictive maintenance enabled by machine learning: Use cases and challenges in the automotive industry

article Full Text OpenAlex 430 FWCI49.52706588

On Predictive Maintenance in Industry 4.0: Overview, Models, and Challenges

article Full Text OpenAlex 358 FWCI170.67585278

A novel temporal convolutional network with residual self-attention mechanism for remaining useful life prediction of rolling bearings

article Full Text OpenAlex 305 FWCI29.75457159

Transformer Network for Remaining Useful Life Prediction of Lithium-Ion Batteries

article Full Text OpenAlex 304 FWCI30.3864224

Remaining Useful Life prediction and challenges: A literature review on the use of Machine Learning Methods

review Full Text OpenAlex 282 FWCI42.09635457

Data-Driven Battery State of Health Estimation Based on Random Partial Charging Data

article Full Text OpenAlex 280 FWCI19.07739428

Health prognostics for lithium-ion batteries: mechanisms, methods, and prospects

article Full Text OpenAlex 276 FWCI45.14289082

Prognostics and health management: A review from the perspectives of design, development and decision

review Full Text OpenAlex 258 FWCI31.33344984