Anil Kumar

According to our database, Anil Kumar authored at least 18 papers between 2018 and 2024.

Collaborative distances:

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

2024

A comprehensive study on developing an intelligent framework for identification and quantitative evaluation of the bearing defect size.

Anil Kumar, Rajesh Kumar, Hesheng Tang, Jiawei Xiang

Reliab. Eng. Syst. Saf., February, 2024

2023

Boosting salp swarm algorithm by opposition-based learning concept and sine cosine algorithm for engineering design problems.

Sumika Chauhan, Govind Vashishtha, Laith Abualigah, Anil Kumar

Soft Comput., December, 2023

Intelligent fault diagnosis of worm gearbox based on adaptive CNN using amended gorilla troop optimization with quantum gate mutation strategy.

Govind Vashishtha, Sumika Chauhan, Surinder Kumar, Rajesh Kumar, Radoslaw Zimroz, Anil Kumar

Knowl. Based Syst., November, 2023

Knowledge addition for improving the transfer learning from the laboratory to identify defects of hydraulic machinery.

Anil Kumar, Adam Glowacz, Hesheng Tang, Jiawei Xiang

Eng. Appl. Artif. Intell., November, 2023

Intelligent framework for degradation monitoring, defect identification and estimation of remaining useful life (RUL) of bearing.

Anil Kumar, Chander Parkash, Hesheng Tang, Jiawei Xiang

Adv. Eng. Informatics, October, 2023

Approximating parameters of photovoltaic models using an amended reptile search algorithm.

Sumika Chauhan, Govind Vashishtha, Anil Kumar

J. Ambient Intell. Humaniz. Comput., July, 2023

Conglomeration of Reptile Search Algorithm and Differential Evolution Algorithm for Optimal Designing of FIR Filter.

Sumika Chauhan, Govind Vashishtha, Anil Kumar, Laith Abualigah

Circuits Syst. Signal Process., May, 2023

Semi-Supervised Multiscale Permutation Entropy-Enhanced Contrastive Learning for Fault Diagnosis of Rotating Machinery.

Yuqing Zhou, Hongche Wang, Gonghai Wang, Anil Kumar, Weifang Sun, Jiawei Xiang

IEEE Trans. Instrum. Meas., 2023

Dynamic model-driven intelligent fault diagnosis method for rotary vector reducers.

Junkang Zheng, Hui Wang, Anil Kumar, Jiawei Xiang

Eng. Appl. Artif. Intell., 2023

2022

Vibration and Acoustic data for defect cases of the cylindrical roller bearing (NBC: NU205E).

Anil Kumar, Rajesh Kumar

Dataset, June, 2022

Acoustic and vibration data for defect cases of the centrifugal pump.

Anil Kumar, Rajesh Kumar

Dataset, June, 2022

A symbiosis of arithmetic optimizer with slime mould algorithm for improving global optimization and conventional design problem.

Sumika Chauhan, Govind Vashishtha, Anil Kumar

J. Supercomput., 2022

Machinery Fault Diagnosis Based on Domain Adaptation to Bridge the Gap Between Simulation and Measured Signals.

Yunxia Lou, Anil Kumar, Jiawei Xiang

IEEE Trans. Instrum. Meas., 2022

State-space modeling and novel entropy-based health indicator for dynamic degradation monitoring of rolling element bearing.

Anil Kumar, Chander Parkash, Govind Vashishtha, Hesheng Tang, Pradeep Kundu, Jiawei Xiang

Reliab. Eng. Syst. Saf., 2022

2021

Novel Convolutional Neural Network (NCNN) for the Diagnosis of Bearing Defects in Rotary Machinery.

Anil Kumar, Govind Vashishtha, C. P. Gandhi, Yuqing Zhou, Adam Glowacz, Jiawei Xiang

IEEE Trans. Instrum. Meas., 2021

Tacho-less sparse CNN to detect defects in rotor-bearing systems at varying speed.

Anil Kumar, Govind Vashishtha, C. P. Gandhi, Hesheng Tang, Jiawei Xiang

Eng. Appl. Artif. Intell., 2021

2020

Improved CNN for the diagnosis of engine defects of 2-wheeler vehicle using wavelet synchro-squeezed transform (WSST).

Anil Kumar, C. P. Gandhi, Yuqing Zhou, Govind Vashishtha, Rajesh Kumar, Jiawei Xiang

Knowl. Based Syst., 2020

2018

Adaptive artificial intelligence for automatic identification of defect in the angular contact bearing.

Anil Kumar, Rajesh Kumar

Neural Comput. Appl., 2018