Khandaker Noman

According to our database, Khandaker Noman authored at least 16 papers between 2018 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Lifting wavelet-informed hierarchical domain adaptation network: An interpretable digital twin-driven gearbox fault diagnosis method.

Sixiang Jia, Dingyi Sun, Khandaker Noman, Xin Wang, Yongbo Li

Reliab. Eng. Syst. Saf., 2025

2024

Multivariate multiscale dispersion Lempel-Ziv complexity for fault diagnosis of machinery with multiple channels.

Shun Wang, Yongbo Li, Khandaker Noman, Zhixiong Li, Ke Feng, Zheng Liu, Zichen Deng

Inf. Fusion, April, 2024

A Novel Nonlinear Dynamic Measure for Early Detection of Bearing Fault Using Weighted Squared Envelope-Based Symbolic Lempel-Ziv Complexity.

Khandaker Noman, Usman Ali, Yongbo Li, Shun Wang, Anayet U. Patwari, Anil Kumar

IEEE Trans. Instrum. Meas., 2024

Multi-task learning mixture density network for interval estimation of the remaining useful life of rolling element bearings.

Xin Wang, Yongbo Li, Khandaker Noman, Asoke K. Nandi

Reliab. Eng. Syst. Saf., 2024

Towards trustworthy remaining useful life prediction through multi-source information fusion and a novel LSTM-DAU model.

Rui Bai, Khandaker Noman, Yu Yang, Yongbo Li, Weiguo Guo

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.

Sumika Chauhan, Govind Vashishtha, Munish Kumar Gupta, Mehmet Erdi Korkmaz, Recep Demirsöz, Khandaker Noman, Vitalii Kolesnyk

Knowl. Based Syst., 2024

Physics-inspired multimodal machine learning for adaptive correlation fusion based rotating machinery fault diagnosis.

Dingyi Sun, Yongbo Li, Zheng Liu, Sixiang Jia, Khandaker Noman

Inf. Fusion, 2024

Local maximum instantaneous extraction transform based on extended autocorrelation function for bearing fault diagnosis.

Tao Liu, Laixing Li, Khandaker Noman, Yongbo Li

Adv. Eng. Informatics, 2024

Sliding time-frequency synchronous average based on autocorrelation function for extracting fault feature of bearings.

Tao Liu, Laixing Li, Yongbo Li, Khandaker Noman

Adv. Eng. Informatics, 2024

2023

A two-phase-based deep neural network for simultaneous health monitoring and prediction of rolling bearings.

Rui Bai, Khandaker Noman, Ke Feng, Zhike Peng, Yongbo Li

Reliab. Eng. Syst. Saf., October, 2023

Oscillatory Lempel-Ziv Complexity Calculation as a Nonlinear Measure for Continuous Monitoring of Bearing Health.

Khandaker Noman, Yongbo Li, Shubin Si, Shun Wang, Gang Mao

IEEE Trans. Reliab., March, 2023

A Novel Weak Feature Extraction Method for Rotating Machinery: Link Dispersion Entropy.

Li Ding, Jinchen Ji, Yongbo Li, Shun Wang, Khandaker Noman, Ke Feng

IEEE Trans. Instrum. Meas., 2023

Optimal symbolic entropy: An adaptive feature extraction algorithm for condition monitoring of bearings.

Chunyun Li, Khandaker Noman, Zheng Liu, Ke Feng, Yongbo Li

Inf. Fusion, 2023

2022

Continuous Health Monitoring of Rolling Element Bearing Based on Nonlinear Oscillatory Sample Entropy.

Khandaker Noman, Yongbo Li, Shun Wang

IEEE Trans. Instrum. Meas., 2022

Partial Transfer Ensemble Learning Framework: A Method for Intelligent Diagnosis of Rotating Machinery Based on an Incomplete Source Domain.

Gang Mao, Zhongzheng Zhang, Sixiang Jia, Khandaker Noman, Yongbo Li

Sensors, 2022

2018

Parameterized model based blind intrinsic chirp source separation.

Peng Zhou, Yang Yang, Shiqian Chen, Zhike Peng, Khandaker Noman, Wenming Zhang

Digit. Signal Process., 2018