Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
Particle swarm optimization algorithm and its applications: a systematic review
Throughout the centuries, nature has been a source of inspiration, with much still to learn
from and discover about. Among many others, Swarm Intelligence (SI), a substantial branch …
from and discover about. Among many others, Swarm Intelligence (SI), a substantial branch …
A review of data-driven machinery fault diagnosis using machine learning algorithms
Purpose This article aims to systematically review the recent research advances in data-
driven machinery fault diagnosis based on machine learning algorithms, and provide …
driven machinery fault diagnosis based on machine learning algorithms, and provide …
Review and empirical analysis of sparrow search algorithm
Y Yue, L Cao, D Lu, Z Hu, M Xu, S Wang, B Li… - Artificial Intelligence …, 2023 - Springer
In recent years, swarm intelligence algorithms have received extensive attention and
research. Swarm intelligence algorithms are a biological heuristic method, which is widely …
research. Swarm intelligence algorithms are a biological heuristic method, which is widely …
A time series transformer based method for the rotating machinery fault diagnosis
Y **, L Hou, Y Chen - Neurocomputing, 2022 - Elsevier
Fault diagnosis of rotating machinery is a significant engineering problem. In recent years,
fault diagnosis methods have matured based on the Convolutional Neural Network (CNN) …
fault diagnosis methods have matured based on the Convolutional Neural Network (CNN) …
An improved ant colony optimization algorithm based on hybrid strategies for scheduling problem
In this paper, an improved ant colony optimization (ICMPACO) algorithm based on the multi-
population strategy, co-evolution mechanism, pheromone updating strategy, and …
population strategy, co-evolution mechanism, pheromone updating strategy, and …
Vibration signal-based early fault prognosis: Status quo and applications
Abstract To implement Prognostics and Health Management (PHM) for industrial systems, it
is paramount to conduct early fault prognosis on the systems to ensure the stability and …
is paramount to conduct early fault prognosis on the systems to ensure the stability and …
[HTML][HTML] A balanced whale optimization algorithm for constrained engineering design problems
In this study, two novel effective strategies composed of Lévy flight and chaotic local search
are synchronously introduced into the whale optimization algorithm (WOA) to guide the …
are synchronously introduced into the whale optimization algorithm (WOA) to guide the …
Chaos enhanced grey wolf optimization wrapped ELM for diagnosis of paraquat-poisoned patients
Paraquat (PQ) poisoning seriously harms the health of humanity. An effective diagnostic
method for paraquat poisoned patients is a crucial concern. Nevertheless, it's difficult to …
method for paraquat poisoned patients is a crucial concern. Nevertheless, it's difficult to …
An efficient chaotic mutative moth-flame-inspired optimizer for global optimization tasks
Y Xu, H Chen, AA Heidari, J Luo, Q Zhang… - Expert Systems with …, 2019 - Elsevier
Moth-flame optimization algorithm (MFO) is a new nature-inspired meta-heuristic based on
the navigation routine of moths in the environment known as transverse orientation. For …
the navigation routine of moths in the environment known as transverse orientation. For …
Review on machine learning algorithm based fault detection in induction motors
Fault detection prior to their occurrence or complete shut-down in induction motor is
essential for the industries. The fault detection based on condition monitoring techniques …
essential for the industries. The fault detection based on condition monitoring techniques …