Khandaker Noman
Orcid: 0000-0002-5543-344X
According to our database1,
Khandaker Noman authored at least 31 papers
between 2018 and 2026.
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Bibliography
2026
Employing natural language processing to build a knowledge graph in the realm of additive manufacturing.
J. Intell. Manuf., May, 2026
Federated Physics-Informed Graph Framework Guided by Multianchors for Heterogeneous Wheeled Robots Collaborative Fault Diagnosis.
IEEE Trans. Ind. Informatics, March, 2026
Uncertainty aware federated averaging approach for privacy secured collaborative remaining useful life prediction of rolling element bearing.
Reliab. Eng. Syst. Saf., 2026
Facilitating heuristic reasoning by utilizing knowledge graph and natural language processing.
Knowl. Based Syst., 2026
Knowledge graph-driven fault diagnosis for aviation equipment: Integrating improved joint extraction with large language model.
J. Ind. Inf. Integr., 2026
PD-FedOS: Prototype-driven federated open-set learning framework for collaborative intelligent fault diagnosis of aero-engine rotor systems.
Expert Syst. Appl., 2026
2025
Time-Frequency Mode Adaptive Decomposition Based on the Maximum Kurtosis for Extracting Fault Component of Bearings.
IEEE Trans. Instrum. Meas., 2025
Extended Sliding Time Synchronous Averaging for Enhancing Weak Fault Feature of Rolling Bearings.
IEEE Trans. Instrum. Meas., 2025
Multisource Heterogeneous Information Fusion Based on Graph Convolutional Network for Gearbox Fault Diagnosis.
IEEE Trans. Instrum. Meas., 2025
Comprehensive Dynamic Prognosis of Rolling Element Bearing Health Through Adaptively Demodulated Nonlinear Dispersive Spectral Entropy.
IEEE Trans Autom. Sci. Eng., 2025
Lifting wavelet-informed hierarchical domain adaptation network: An interpretable digital twin-driven gearbox fault diagnosis method.
Reliab. Eng. Syst. Saf., 2025
Physics-driven Bayesian long short-term memory network for machinery remaining useful life prediction with uncertainty estimation.
Reliab. Eng. Syst. Saf., 2025
FedPM-SGN: A federated graph network for aviation equipment fault diagnosis by multi-sensor fusion in decentralized and heterogeneous setting.
Inf. Fusion, 2025
Fuzzy diversity entropy as a nonlinear measure for the intelligent fault diagnosis of rotating machinery.
Adv. Eng. Informatics, 2025
AddManBERT: A combinatorial triples extraction and classification task for establishing a knowledge graph to facilitate design for additive manufacturing.
Adv. Eng. Informatics, 2025
Spatio-temporal graph convolutional network with domain generalization: A novel rotating machinery RUL prediction method in small samples.
Adv. Eng. Informatics, 2025
2024
Multivariate multiscale dispersion Lempel-Ziv complexity for fault diagnosis of machinery with multiple channels.
Inf. Fusion, April, 2024
A Novel Nonlinear Dynamic Measure for Early Detection of Bearing Fault Using Weighted Squared Envelope-Based Symbolic Lempel-Ziv Complexity.
IEEE Trans. Instrum. Meas., 2024
Multi-task learning mixture density network for interval estimation of the remaining useful life of rolling element bearings.
Reliab. Eng. Syst. Saf., 2024
Towards trustworthy remaining useful life prediction through multi-source information fusion and a novel LSTM-DAU model.
Reliab. Eng. Syst. Saf., 2024
Parallel structure of crayfish optimization with arithmetic optimization for classifying the friction behaviour of Ti-6Al-4V alloy for complex machinery applications.
Knowl. Based Syst., 2024
Physics-inspired multimodal machine learning for adaptive correlation fusion based rotating machinery fault diagnosis.
Inf. Fusion, 2024
Local maximum instantaneous extraction transform based on extended autocorrelation function for bearing fault diagnosis.
Adv. Eng. Informatics, 2024
Sliding time-frequency synchronous average based on autocorrelation function for extracting fault feature of bearings.
Adv. Eng. Informatics, 2024
2023
A two-phase-based deep neural network for simultaneous health monitoring and prediction of rolling bearings.
Reliab. Eng. Syst. Saf., October, 2023
Oscillatory Lempel-Ziv Complexity Calculation as a Nonlinear Measure for Continuous Monitoring of Bearing Health.
IEEE Trans. Reliab., March, 2023
A Novel Weak Feature Extraction Method for Rotating Machinery: Link Dispersion Entropy.
IEEE Trans. Instrum. Meas., 2023
Optimal symbolic entropy: An adaptive feature extraction algorithm for condition monitoring of bearings.
Inf. Fusion, 2023
2022
Continuous Health Monitoring of Rolling Element Bearing Based on Nonlinear Oscillatory Sample Entropy.
IEEE Trans. Instrum. Meas., 2022
Partial Transfer Ensemble Learning Framework: A Method for Intelligent Diagnosis of Rotating Machinery Based on an Incomplete Source Domain.
Sensors, 2022
2018
Digit. Signal Process., 2018