A comprehensive survey of sine cosine algorithm: variants and applications

AB Gabis, Y Meraihi, S Mirjalili… - Artificial Intelligence …, 2021 - Springer
Abstract Sine Cosine Algorithm (SCA) is a recent meta-heuristic algorithm inspired by the
proprieties of trigonometric sine and cosine functions. Since its introduction by Mirjalili in …

Rolling bearing fault diagnosis based on SSA optimized self-adaptive DBN

S Gao, L Xu, Y Zhang, Z Pei - ISA transactions, 2022 - Elsevier
Due to the structure of rolling bearings and the complexity of the operating environment,
collected vibration signals tend to show strong non-stationary and time-varying …

Rolling bearing fault diagnosis based on 2D time-frequency images and data augmentation technique

W Fu, X Jiang, B Li, C Tan, B Chen… - … Science and Technology, 2023 - iopscience.iop.org
It confronts great difficulty to apply the traditional rolling bearing fault diagnosis methods to
adaptively extract features conducive to fault diagnosis under complex operating conditions …

Coordinated approach fusing time-shift multiscale dispersion entropy and vibrational Harris hawks optimization-based SVM for fault diagnosis of rolling bearing

K Shao, W Fu, J Tan, K Wang - Measurement, 2021 - Elsevier
To fully mine the effective fault information and improve the fault diagnosis accuracy, a novel
fault diagnosis approach for rolling bearings is proposed by integrating variational mode …

A systematic review of applying grey wolf optimizer, its variants, and its developments in different Internet of Things applications

MH Nadimi-Shahraki, H Zamani, ZA Varzaneh… - Internet of Things, 2024 - Elsevier
Abstract The Internet of Things (IoT) shapes an organization of objects that can interface and
share information with different devices using sensors, computer programs, and other …

Optimal tuning of sigmoid PID controller using Nonlinear Sine Cosine Algorithm for the Automatic Voltage Regulator system

MH Suid, MA Ahmad - ISA transactions, 2022 - Elsevier
Abstract Automatic Voltage Regulator (AVR) is fabricated to sustain the voltage level of a
synchronous generator spontaneously. Several control strategies have been introduced into …

A composite framework coupling multiple feature selection, compound prediction models and novel hybrid swarm optimizer-based synchronization optimization …

W Fu, K Wang, J Tan, K Zhang - Energy Conversion and Management, 2020 - Elsevier
Accurate wind speed prediction plays a vital role in power system in terms of rational
dispatching and safe operation. For this purpose, a novel composite framework integrating …

A hybrid approach for multi-step wind speed forecasting based on two-layer decomposition, improved hybrid DE-HHO optimization and KELM

W Fu, K Zhang, K Wang, B Wen, P Fang, F Zou - Renewable Energy, 2021 - Elsevier
Accurate prediction for short-term wind speed can reduce the adverse impact of wind farm
on power system effectively. To this end, a novel hybrid forecasting approach combining two …

Fault diagnosis for rolling bearings based on composite multiscale fine-sorted dispersion entropy and SVM with hybrid mutation SCA-HHO algorithm optimization

W Fu, K Shao, J Tan, K Wang - Ieee Access, 2020 - ieeexplore.ieee.org
The health condition of rolling bearing possesses a significant impact on the safety and
efficiency of rotating machinery. Accordingly, to diagnose the faults in rolling bearings …

Predicting green consumption behaviors of students using efficient firefly grey wolf-assisted K-nearest neighbor classifiers

H Tang, Y Xu, A Lin, AA Heidari, M Wang, H Chen… - Ieee …, 2020 - ieeexplore.ieee.org
Understanding the green consumption behaviors of college students is highly demanded to
update the public and educational policies of universities. For this purpose, this research is …