Results 31 to 40 of about 639 (153)

A Rolling Bearing Fault Feature Extraction Algorithm Based on IPOA-VMD and MOMEDA

Sensors, 2023
Since the rolling bearing fault signal captured by a vibration sensor contains a large amount of background noise, fault features cannot be accurately extracted.
Kang Yi, Changxin Cai, Wentao Tang, Xin Dai, Fulin Wang, Fangqing Wen   +5 more
doaj   +1 more source

An Effective Metaheuristic Approach for Building Energy Optimization Problems

Buildings, 2022
Mathematical optimization can be a useful strategy for minimizing energy usage while designing low-energy buildings. To handle building energy optimization challenges, this study provides an effective hybrid technique based on the pelican optimization ...
Xinzhe Yuan, Mohammad Ali Karbasforoushha, Rahmad B. Y. Syah, Mohammad Khajehzadeh, Suraparb Keawsawasvong, Moncef L. Nehdi   +5 more
doaj   +1 more source

A Thermal Error Prediction Method of High-Speed Motorized Spindle Based on Pelican Optimization Algorithm and CNN-LSTM

Applied Sciences, 2023
Given motorized spindles’ extensive periods of prolonged high-velocity operation, they are prone to temperature changes, which leads to the problem of thermal error, leading to diminished precision in machining operations.
Ying Gao, Xiaojun Xia, Yinrui Guo
doaj   +1 more source

A New Method for Fault Diagnosis of Hydraulic System Based on Improved Empirical Wavelet Transform and Kernel Extreme Learning Machine

IEEE Access, 2023
To address the problem that multivariable faults in hydraulic systems are difficult to diagnose accurately in a short time, a new signal processing method combining an improved empirical wavelet transform with a kernel extreme learning machine optimized ...
Chao Chen, Muhetaer Kelimu, Bo Yang
doaj   +1 more source

Optimal path selection and secured data transmission in underwater acoustic sensor networks: LSTM-based energy prediction.

PLoS ONE, 2023
The Underwater Acoustic Sensor Network (UASN) is a large network in which the vicinity of a transmitting node is made up of numerous operational sensor nodes. The communication process may be substantially disrupted due to the underwater acoustic channel'
Sathish Kaveripakam, Ravikumar Chinthaginjala   +1 more
doaj   +1 more source

Fault diagnosis of transformer winding short circuit based on WKPCA-WM and IPOA-CNN

Frontiers in Energy Research, 2023
When the winding of the power transformer is short-circuited, the winding will experience constant vibration, which will cause axial instability of the winding, and then lead to winding looseness, deformation, bulge, etc., therefore, a diagnosis method ...
Xiping Pei, Songtao Han, Yanyan Bao, Wei Chen, Hengjie Li   +4 more
doaj   +1 more source

Contact Resistance Volatility Prediction of Pantograph-Catenary Based on IPOA-ELM

IEEE Access
The volatility of contact resistance directly reflects the fluctuation of friction pairs in the pantograph-catenary system, so this paper proposes a new prediction model of contact resistance volatility based on an improved Pelican optimization algorithm
Lichuan Hui, Jianfei Chen
doaj   +1 more source

Enhancing Cloud Task Scheduling With a Robust Security Approach and Optimized Hybrid POA

IEEE Access, 2023
Dynamic and flexible computing resources are offered by cloud computing (CC), which has gained popularity as a computing technology. Efficient task scheduling (TS) plays a critical role in CC by optimizing the distribution of tasks across available ...
S. V. Aswin Kumer, N. Prabakaran, E. Mohan, Balaji Natarajan, G. Sambasivam, Vaibhav Bhushan Tyagi   +5 more
doaj   +1 more source

Task grouping and optimized deep learning based VM sizing for hosting containers as a service

Journal of Cloud Computing: Advances, Systems and Applications, 2023
Containers as a service (CaaS) are a kind of services that permits the organization to handle the containers more effectively. Containers are lightweight, require less computing resources, portable, and facilitate better support for microservices. In the
Manoj Kumar Patra, Bibhudatta Sahoo, Ashok Kumar Turuk, Sanjay Misra   +3 more
doaj   +1 more source

Big Bird: A global dataset of birds in drone imagery annotated to species level

Remote Sensing in Ecology and Conservation, EarlyView.
Drones are a valuable tool for surveying birds, but manually detecting and identifying birds in drone images is costly. We assembled a diverse dataset of 23 865 images of birds captured with 21 different drones across 11 countries. We labelled 4824 of these images, detailing the location, species, posture category, age category, and sex of 49 990 birds
Joshua P. Wilson, Tatsuya Amano, Thomas Bregnballe, Alejandro Corregidor‐Castro, Roxane Francis, Diego Gallego‐García, Jarrod C. Hodgson, Landon R. Jones, César R. Luque‐Fernández, Dominik Marchowski, John McEvoy, Ann E. McKellar, W. Chris Oosthuizen, Christian Pfeifer, Martin Renner, José Hernán Sarasola, Mateo Sokač, Roberto Valle, Adam Zbyryt, Richard A. Fuller   +19 more
wiley   +1 more source