Khandaker Noman - researchr alias

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Viewing Publication 1 - 30 from 30

2026

Facilitating heuristic reasoning by utilizing knowledge graph and natural language processingAuwal Haruna, Khandaker Noman, Yongbo Li, Inno Lorren Désir Makanda, Ahmed Zubair, Md Junayed Hasan, Ahmad Bala Alhassan. kbs, 334:115153, 2026. [doi]

Knowledge graph-driven fault diagnosis for aviation equipment: Integrating improved joint extraction with large language modelLunyong Li, Auwal Haruna, Wanming Ying, Khandaker Noman, Yongbo Li 0001. jiii, 50:101039, 2026. [doi]

PD-FedOS: Prototype-driven federated open-set learning framework for collaborative intelligent fault diagnosis of aero-engine rotor systemsGang Mao, Yongbo Li 0001, Zhiqiang Cai 0003, Teng Wang, Khandaker Noman, Ran Zhang 0011. eswa, 320:132133, 2026. [doi]

Federated Physics-Informed Graph Framework Guided by Multianchors for Heterogeneous Wheeled Robots Collaborative Fault DiagnosisGang Mao, Yongbo Li 0001, Yulong Zhang, Teng Wang 0002, Khandaker Noman, Zhiqiang Cai 0003. tii, 22(3):2265-2276, March 2026. [doi]

Uncertainty aware federated averaging approach for privacy secured collaborative remaining useful life prediction of rolling element bearingWasib Ul Navid, Khandaker Noman, Khandaker Ashfak, Yongbo Li 0001, Zhe Su, Anayet U. Patwari. ress, 271:112221, 2026. [doi]

2025

Spatio-temporal graph convolutional network with domain generalization: A novel rotating machinery RUL prediction method in small samplesRui Bai, Yongbo Li, Jiancheng Yin, Khandaker Noman. aei, 67:103522, 2025. [doi]

Physics-driven Bayesian long short-term memory network for machinery remaining useful life prediction with uncertainty estimationRui Bai, Yongbo Li, Jiancheng Yin, Zehang Jiao, Khandaker Noman, Yuhang Wang. ress, 262:111127, 2025. [doi]

Multisource Heterogeneous Information Fusion Based on Graph Convolutional Network for Gearbox Fault DiagnosisSiyuan Gao, Khandaker Noman, Gang Mao, Zichen Deng, Yongbo Li, Wenqing Ge. tim, 74:1-15, 2025. [doi]

AddManBERT: A combinatorial triples extraction and classification task for establishing a knowledge graph to facilitate design for additive manufacturingAuwal Haruna, Khandaker Noman, Yongbo Li, Xin Wang, Md Junayed Hasan, Ahmad Bala Alhassan. aei, 67:103578, 2025. [doi]

Lifting wavelet-informed hierarchical domain adaptation network: An interpretable digital twin-driven gearbox fault diagnosis methodSixiang Jia, Dingyi Sun, Khandaker Noman, Xin Wang, Yongbo Li. ress, 254:110660, 2025. [doi]

Fuzzy diversity entropy as a nonlinear measure for the intelligent fault diagnosis of rotating machineryZehang Jiao, Khandaker Noman, Qingbo He, Zichen Deng, Yongbo Li, K. Eliker. aei, 64:103057, 2025. [doi]

Extended Sliding Time Synchronous Averaging for Enhancing Weak Fault Feature of Rolling BearingsLaixing Li, Yongbo Li, Tao Liu, Khandaker Noman, Huijun Shi, Shuai Shi. tim, 74:1-13, 2025. [doi]

Time-Frequency Mode Adaptive Decomposition Based on the Maximum Kurtosis for Extracting Fault Component of BearingsTao Liu, Shufeng Wang, Xinsan Li, Yongbo Li, Khandaker Noman. tim, 74:1-10, 2025. [doi]

FedPM-SGN: A federated graph network for aviation equipment fault diagnosis by multi-sensor fusion in decentralized and heterogeneous settingGang Mao, Hui Li, Longxian Xue, Yongbo Li, Zhiqiang Cai 0003, Khandaker Noman. inffus, 117:102876, 2025. [doi]

Comprehensive Dynamic Prognosis of Rolling Element Bearing Health Through Adaptively Demodulated Nonlinear Dispersive Spectral EntropyKhandaker Noman, Khandaker Ashfak, Wasib Ul Navid, Yongbo Li 0001, Auwal Haruna, Tao Liu 0039. tase, 22:23538-23554, 2025. [doi]

2024

Multi-task learning mixture density network for interval estimation of the remaining useful life of rolling element bearingsXin Wang 0052, Yongbo Li, Khandaker Noman, Asoke K. Nandi. ress, 251:110348, 2024. [doi]

Towards trustworthy remaining useful life prediction through multi-source information fusion and a novel LSTM-DAU modelRui Bai, Khandaker Noman, Yu Yang, Yongbo Li, Weiguo Guo. ress, 245:110047, 2024. [doi]

Parallel structure of crayfish optimization with arithmetic optimization for classifying the friction behaviour of Ti-6Al-4V alloy for complex machinery applicationsSumika Chauhan, Govind Vashishtha, Munish Kumar Gupta, Mehmet Erdi Korkmaz, Recep Demirsöz, Khandaker Noman, Vitalii Kolesnyk. kbs, 286:111389, 2024. [doi]

Local maximum instantaneous extraction transform based on extended autocorrelation function for bearing fault diagnosisTao Liu, Laixing Li, Khandaker Noman, Yongbo Li. aei, 61:102487, 2024. [doi]

Sliding time-frequency synchronous average based on autocorrelation function for extracting fault feature of bearingsTao Liu, Laixing Li, Yongbo Li, Khandaker Noman. aei, 62:102876, 2024. [doi]

A Novel Nonlinear Dynamic Measure for Early Detection of Bearing Fault Using Weighted Squared Envelope-Based Symbolic Lempel-Ziv ComplexityKhandaker Noman, Usman Ali, Yongbo Li, Shun Wang, Anayet U. Patwari, Anil Kumar 0005. tim, 73:1-16, 2024. [doi]

Physics-inspired multimodal machine learning for adaptive correlation fusion based rotating machinery fault diagnosisDingyi Sun, Yongbo Li, Zheng Liu 0002, Sixiang Jia, Khandaker Noman. inffus, 108:102394, 2024. [doi]

Multivariate multiscale dispersion Lempel-Ziv complexity for fault diagnosis of machinery with multiple channelsShun Wang, Yongbo Li, Khandaker Noman, Zhixiong Li, Ke Feng, Zheng Liu 0002, Zichen Deng. inffus, 104:102152, April 2024. [doi]

2023

2022

Partial Transfer Ensemble Learning Framework: A Method for Intelligent Diagnosis of Rotating Machinery Based on an Incomplete Source DomainGang Mao, Zhongzheng Zhang, Sixiang Jia, Khandaker Noman, Yongbo Li. sensors, 22(7):2579, 2022. [doi]

Continuous Health Monitoring of Rolling Element Bearing Based on Nonlinear Oscillatory Sample EntropyKhandaker Noman, Yongbo Li, Shun Wang. tim, 71:1-14, 2022. [doi]

2018

Parameterized model based blind intrinsic chirp source separationPeng Zhou, Yang Yang, Shiqian Chen, Zhike Peng, Khandaker Noman, Wenming Zhang. dsp, 83:73-82, 2018. [doi]

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