ORCID Profile
0000-0003-3737-7269
Current Organisations
Curtin University
,
University of Engineering and Technology
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Publisher: Computers, Materials and Continua (Tech Science Press)
Date: 2023
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2023
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2022
Publisher: Institution of Engineering and Technology (IET)
Date: 25-10-2019
Publisher: Springer Science and Business Media LLC
Date: 16-01-2019
Publisher: Hindawi Limited
Date: 08-08-2022
DOI: 10.1155/2022/4648311
Abstract: As the most basic component of rotating machinery, rolling bearing frequently works in harsh environments and complex working conditions, and its health status affects seriously the working efficiency. The health statuses of rolling bearing can not only reduce equipment maintenance costs but also contribute to reducing major accidents. Based on this, an adaptive diagnosis method that combines deep gated recurrent unit (DGRU) with wavelet packet decomposition (WPD) and extreme learning machine (ELM) is proposed for rolling bearing. Firstly, WPD is utilized to eliminate the noise of data. Secondly, DGRU is designed to extract the representative features of denoised data. Finally, ELM is utilized to output the diagnosis results. Massive results prove that the superiority and robustness of our approach outperform existing popular methods. Additionally, the proposed method can also achieve powerful antinoise ability.
Publisher: IEEE
Date: 26-09-2021
Publisher: Springer Science and Business Media LLC
Date: 07-11-2018
Publisher: IEEE
Date: 11-2018
Publisher: IEEE
Date: 12-2017
Publisher: Hindawi Limited
Date: 25-03-2022
DOI: 10.1155/2022/4547212
Abstract: The losses in the radial distribution system are inevitable which needs to be minimized for the proper transmission of power to the end customers. This problem can be solved by the allocation of capacitor banks at proper locations with appropriate sizing. These allocations need an efficient approach for the performance enhancement of RDS. In this paper, several metaheuristic techniques such as particle swarm optimization (PSO), Harmony search, Bat, Cuckoo, and Grey-wolf (GW) algorithms are employed to find the size of capacitor banks. Loss sensitivity analysis is considered for the indication of candidate buses where a capacitor has to be installed to reduce the total system losses and ultimately increase efficiency. Cost-effectiveness, power loss minimization, and voltage enhancement can be determined and compared for these 5 techniques and are implemented on the IEEE-34 bus system to illustrate the efficacy of each of them. The results show the advantages and drawbacks of the techniques separately. The simulations are carried out in MATLAB.
Publisher: Institution of Engineering and Technology (IET)
Date: 20-03-2019
Publisher: IEEE
Date: 11-2020
No related grants have been discovered for Munira Batool.