A gearbox fault feature extraction method based on wingsuit flying search algorithm-optimized orthogonal matching pursuit with a compound time-frequency atom dictionary

Mao, Yifan; Xu, Feiyun; Zhao, Xun; Yan, Xiaoan

doi:10.1007/s12206-021-1002-5

Cited by 3 publications

(2 citation statements)

References 26 publications

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“…To evaluate the performance of the pronunciation error detection system, this study designs evaluation indexes by referring to the hierarchical evaluation structure developed in the literature [15]. ere are four types of test results: true acceptance (AT), true rejection (RT), false rejection (RF), and false acceptance (AF), as shown in Table 2.…”

Section: Results Analysis and Discussionmentioning

confidence: 99%

Exploring the Teaching Mode of English Audiovisual Speaking in Multimedia Network Environment

Wang

2022

Advances in Multimedia

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Introducing multimedia network tools in English audiovisual teaching and building a new model of network-based multimedia teaching can make English audiovisual teaching more in line with students’ cognitive thinking characteristics and processes. This can improve the overall efficiency of English teaching in schools. Computers have been widely used in language evaluation and speech recognition for language learning, and speech recognition technology is an important reflection of the level of language learning. The large amount of language signal data, complex pronunciation changes, and high dimensionality of pronunciation feature parameters in the language learning process make it difficult to identify pronunciation features. The computational volume of pronunciation evaluation and recognition is too large, which requires high hardware resources and software resources to realize high-speed processing of massive pronunciation signals. To address the problem of low recognition rate of English pronunciation, this study proposes a sound recognition algorithm based on adaptive particle swarm optimization (PSO) matching pursuit (MP) sparse decomposition. The algorithm firstly improves the parameter adaptive setting of PSO based on the particle and population evolution rate, establishes parameter adaptive PSO, and realizes the optimization of adaptive PSO optimized MP sparse decomposition. The continuous Gabor super-complete atomic set is constructed based on the continuous space search property of PSO to improve the optimal atomic matching of the evolutionary process. Finally, the recognition of English pronunciation is realized by the support vector machine (SVM) algorithm. The test results show that the misjudgement rate for different mispronunciations is less than 1% when the system is used to evaluate the English pronunciation level. It proves that the method can effectively detect the mispronunciation and has high evaluation accuracy.

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Section: Results Analysis and Discussionmentioning

confidence: 99%

Exploring the Teaching Mode of English Audiovisual Speaking in Multimedia Network Environment

Wang

2022

Advances in Multimedia

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“…To verify the performance of IEO, the experiments were divided into two main parts. In the first part, we used 29 benchmark functions from IEEE CEC2017 as the test set, and the peers for comparison included the conventional EO as well as several mainstream algorithms, including GGSA [59], HGSA [60], RGBSO [61], CBSO [62], GLPSO [63,64], SCA [65,66] and WFS [67,68]. GGSA enhances exploitation with additional updates on the population with the best particle.…”

Section: Experiments and Analysismentioning

confidence: 99%

An Improved Equilibrium Optimizer with a Decreasing Equilibrium Pool

Yang

Liu³

et al. 2022

Symmetry

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Big Data is impacting and changing the way we live, and its core lies in the use of machine learning to extract valuable information from huge amounts of data. Optimization problems are a common problem in many steps of machine learning. In the face of complex optimization problems, evolutionary computation has shown advantages over traditional methods. Therefore, many researchers are working on improving the performance of algorithms for solving various optimization problems in machine learning. The equilibrium optimizer (EO) is a member of evolutionary computation and is inspired by the mass balance model in environmental engineering. Using particles and their concentrations as search agents, it simulates the process of finding equilibrium states for optimization. In this paper, we propose an improved equilibrium optimizer (IEO) based on a decreasing equilibrium pool. IEO provides more sources of information for particle updates and maintains a higher population diversity. It can discard some exploration in later stages to enhance exploitation, thus achieving a better search balance. The performance of IEO is verified using 29 benchmark functions from IEEE CEC2017, a dynamic economic dispatch problem, a spacecraft trajectory optimization problem, and an artificial neural network model training problem. In addition, the changes in population diversity and computational complexity brought by the proposed method are analyzed.

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Technique for Kernel Matching Pursuit Based on Intuitionistic Fuzzy c-Means Clustering

Lei,

Zhang

2024

Electronics

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Kernel matching pursuit (KMP) requires every step of the searching process to be global optimal searching in the redundant dictionary of functions in order to select the best matching signal structure. Namely, the dictionary learning time of KMP is too long. To solve the above drawbacks, a rough dataset was divided into some small-sized dictionaries to substitute local searching for global searching by using the property superiority of dynamic clustering performance, which is also superior in the intuitionistic fuzzy c-means (IFCM) algorithm. Then, we proposed a novel technique for KMP based on IFCM (IFCM-KMP). Subsequently, three tests including classification, effectiveness, and time complexity were carried out on four practical sample datasets, the conclusions of which fully demonstrate that the IFCM-KMP algorithm is superior to FCM and KMP.

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A gearbox fault feature extraction method based on wingsuit flying search algorithm-optimized orthogonal matching pursuit with a compound time-frequency atom dictionary

Cited by 3 publications

References 26 publications

Exploring the Teaching Mode of English Audiovisual Speaking in Multimedia Network Environment

Exploring the Teaching Mode of English Audiovisual Speaking in Multimedia Network Environment

An Improved Equilibrium Optimizer with a Decreasing Equilibrium Pool

Technique for Kernel Matching Pursuit Based on Intuitionistic Fuzzy c-Means Clustering

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