Xin Wang

Orcid: 0000-0001-5223-9628

Affiliations:
  • Beijing University of Technology, Beijing University of Technology, China


According to our database1, Xin Wang authored at least 11 papers between 2019 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Employing natural language processing to build a knowledge graph in the realm of additive manufacturing.
J. Intell. Manuf., May, 2026

2025
An integrated dual-scale similarity-based method for bearing remaining useful life prediction.
Reliab. Eng. Syst. Saf., 2025

A reliable bearing remaining useful life prediction method based on multi-hierarchy dynamic evaluation and uncertainty amelioration.
Reliab. Eng. Syst. Saf., 2025

Lifting wavelet-informed hierarchical domain adaptation network: An interpretable digital twin-driven gearbox fault diagnosis method.
Reliab. Eng. Syst. Saf., 2025

AddManBERT: A combinatorial triples extraction and classification task for establishing a knowledge graph to facilitate design for additive manufacturing.
Adv. Eng. Informatics, 2025

2024
An Adaptive Sparse Graph Learning Method Based on Digital Twin Dictionary for Remaining Useful Life Prediction of Rolling Element Bearings.
IEEE Trans. Ind. Informatics, September, 2024

Multi-task learning mixture density network for interval estimation of the remaining useful life of rolling element bearings.
Reliab. Eng. Syst. Saf., 2024

2022
Comprehensive Remaining Useful Life Prediction for Rolling Element Bearings Based on Time-Varying Particle Filtering.
IEEE Trans. Instrum. Meas., 2022

2021
Spectrum-Based, Full-Band Preprocessing, and Two-Dimensional Separation of Bearing and Gear Compound Faults Diagnosis.
IEEE Trans. Instrum. Meas., 2021

2020
Research on Remaining Useful Life Prediction of Rolling Element Bearings Based on Time-Varying Kalman Filter.
IEEE Trans. Instrum. Meas., 2020

2019
Improved Fault Size Estimation Method for Rolling Element Bearings Based on Concatenation Dictionary.
IEEE Access, 2019


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