Anil Kumar - RankMe

26 papers Journal 26

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Explainable artificial intelligence based simulation-to-real domain adaptation for robust rotor condition monitoring. Adv. Eng. Informatics Anil Kumar, Yuqing Zhou, Emiliano Mucchi, Dong Wang
2025	J	`jnl`	Acoustic fault diagnosis of three-phase induction motors using smartphone and deep learning. Expert Syst. Appl. Adam Glowacz, Maciej Sulowicz, Jakub Zielonka, Zhixiong Li, Witold Glowacz, Anil Kumar
2025	J	`jnl`	Critical challenges and advances in vibration signal processing for non-stationary condition monitoring. Adv. Eng. Informatics Anil Kumar, Agnieszka Wylomanska, Radoslaw Zimroz, Jiawei Xiang, Jérôme Antoni
2025	J	`jnl`	Enhanced deep learning framework for accurate near-failure RUL prediction of bearings in varying operating conditions. Adv. Eng. Informatics Anil Kumar, Chander Parkash, Pradeep Kundu, Hesheng Tang, Jiawei Xiang
2025	J	`jnl`	Novel domain-adaptive Wasserstein generative adversarial networks for early bearing fault diagnosis under various conditions. Reliab. Eng. Syst. Saf. Zhendong Hei, WeiFang Sun, Haiyang Yang, Meipeng Zhong, Yanling Li, Anil Kumar, Jiawei Xiang, Yuqing Zhou
2025	J	`jnl`	Research overview and prospect in condition monitoring of compressors. Expert Syst. Appl. Anil Kumar
2025	J	`jnl`	Robust adaptive ridge detection for frequency tracking in heavy-noise environment. Adv. Eng. Informatics Anil Kumar, Jiawei Xiang
2025	J	`jnl`	Robust correlation measures for informative frequency band selection in heavy-tailed signals. Adv. Eng. Informatics Justyna Hebda-Sobkowicz, Radoslaw Zimroz, Anil Kumar, Agnieszka Wylomanska
2024	J	`jnl`	A Novel Nonlinear Dynamic Measure for Early Detection of Bearing Fault Using Weighted Squared Envelope-Based Symbolic Lempel-Ziv Complexity. IEEE Trans. Instrum. Meas. Khandaker Noman, Usman Ali, Yongbo Li, Shun Wang, Anayet U. Patwari, Anil Kumar
2024	J	`jnl`	A comprehensive study on developing an intelligent framework for identification and quantitative evaluation of the bearing defect size. Reliab. Eng. Syst. Saf. Anil Kumar, Rajesh Kumar, Hesheng Tang, Jiawei Xiang
2024	J	`jnl`	A quasi-reflected and Gaussian mutated arithmetic optimisation algorithm for global optimisation. Inf. Sci. Sumika Chauhan, Govind Vashishtha, Rajesh Kumar, Radoslaw Zimroz, Munish Kumar Gupta, Anil Kumar
2024	J	`jnl`	Entropy-based domain adaption strategy for predicting remaining useful life of rolling element bearing. Eng. Appl. Artif. Intell. Anil Kumar, Chander Parkash, Yuqing Zhou, Pradeep Kundu, Jiawei Xiang, Hesheng Tang, Govind Vashishtha, Sumika Chauhan
2023	J	`jnl`	Approximating parameters of photovoltaic models using an amended reptile search algorithm. J. Ambient Intell. Humaniz. Comput. Sumika Chauhan, Govind Vashishtha, Anil Kumar
2023	J	`jnl`	Boosting salp swarm algorithm by opposition-based learning concept and sine cosine algorithm for engineering design problems. Soft Comput. Sumika Chauhan, Govind Vashishtha, Laith Abualigah, Anil Kumar
2023	J	`jnl`	Conglomeration of Reptile Search Algorithm and Differential Evolution Algorithm for Optimal Designing of FIR Filter. Circuits Syst. Signal Process. Sumika Chauhan, Govind Vashishtha, Anil Kumar, Laith Abualigah
2023	J	`jnl`	Dynamic model-driven intelligent fault diagnosis method for rotary vector reducers. Eng. Appl. Artif. Intell. Junkang Zheng, Hui Wang, Anil Kumar, Jiawei Xiang
2023	J	`jnl`	Intelligent fault diagnosis of worm gearbox based on adaptive CNN using amended gorilla troop optimization with quantum gate mutation strategy. Knowl. Based Syst. Govind Vashishtha, Sumika Chauhan, Surinder Kumar, Rajesh Kumar, Radoslaw Zimroz, Anil Kumar
2023	J	`jnl`	Intelligent framework for degradation monitoring, defect identification and estimation of remaining useful life (RUL) of bearing. Adv. Eng. Informatics Anil Kumar, Chander Parkash, Hesheng Tang, Jiawei Xiang
2023	J	`jnl`	Knowledge addition for improving the transfer learning from the laboratory to identify defects of hydraulic machinery. Eng. Appl. Artif. Intell. Anil Kumar, Adam Glowacz, Hesheng Tang, Jiawei Xiang
2023	J	`jnl`	Semi-Supervised Multiscale Permutation Entropy-Enhanced Contrastive Learning for Fault Diagnosis of Rotating Machinery. IEEE Trans. Instrum. Meas. Yuqing Zhou, Hongche Wang, Gonghai Wang, Anil Kumar, WeiFang Sun, Jiawei Xiang
2022	J	`jnl`	A symbiosis of arithmetic optimizer with slime mould algorithm for improving global optimization and conventional design problem. J. Supercomput. Sumika Chauhan, Govind Vashishtha, Anil Kumar
2022	J	`jnl`	Machinery Fault Diagnosis Based on Domain Adaptation to Bridge the Gap Between Simulation and Measured Signals. IEEE Trans. Instrum. Meas. Yunxia Lou, Anil Kumar, Jiawei Xiang
2022	J	`jnl`	State-space modeling and novel entropy-based health indicator for dynamic degradation monitoring of rolling element bearing. Reliab. Eng. Syst. Saf. Anil Kumar, Chander Parkash, Govind Vashishtha, Hesheng Tang, Pradeep Kundu, Jiawei Xiang
2021	J	`jnl`	Novel Convolutional Neural Network (NCNN) for the Diagnosis of Bearing Defects in Rotary Machinery. IEEE Trans. Instrum. Meas. Anil Kumar, Govind Vashishtha, C. P. Gandhi, Yuqing Zhou, Adam Glowacz, Jiawei Xiang
2021	J	`jnl`	Tacho-less sparse CNN to detect defects in rotor-bearing systems at varying speed. Eng. Appl. Artif. Intell. Anil Kumar, Govind Vashishtha, C. P. Gandhi, Hesheng Tang, Jiawei Xiang
2020	J	`jnl`	Improved CNN for the diagnosis of engine defects of 2-wheeler vehicle using wavelet synchro-squeezed transform (WSST). Knowl. Based Syst. Anil Kumar, C. P. Gandhi, Yuqing Zhou, Govind Vashishtha, Rajesh Kumar, Jiawei Xiang