The resolution of the unmanned aerial vehicle (UAV) path-planning problem frequently leverages optimization algorithms as a foundational approach. Among these, recently proposed crayfish algorithm (COA) has garnered significant attention promising and noteworthy alternative. Nevertheless, COA’s search efficiency tends to diminish in later stages process, making it prone premature convergence into local optima. To address this limitation, an improved COA (ICOA) is proposed. enhance quality...

Surface defects in magnetic tiles pose significant challenges to the performance and reliability of permanent magnet motors. Traditional defect detection methods, including visual inspection 2D imaging, are limited by subjectivity, resolution constraints, a lack depth information, making precise quantification challenging. To address this challenge, study explores quantitative evaluation framework based on high-resolution 3D laser scanning technology. Our approach integrates point cloud...

WC particles with high hardness and wear resistance were commonly used to manufacture various wear-resistant parts. In this paper, different alloying elements Ni, Mo Fe added produce the preforms, then cast method was prepare WC-iron matrix composite. The interface microstructure of composites observed, abrasive properties tested. results showed that transition layer metallurgical bonding produced in under alloy elements. mainly contained WC, Fe3W3C, Fe6W6C, M7C3 α-Fe, carbides Fe3W3C M7C3....

Islanding detection is one of the conditions necessary for safe operation microgrid. The technology should provide ability to differentiate islanded operations from power grid disturbances effectively. Given that it difficult set fault threshold using passive method, and because traditional active method affects output quality, a microgrid islanding based on Sliding Window Discrete Fourier Transform (SDFT)-Empirical Mode Decomposition (EMD) Long Short-Term Memory (LSTM) network optimized by...

Surface defects in arc magnets constitute the main culprit for performance degradation and safety hazards permanent magnet motors. Machine-vision methods offer possibility to identify surface automatically. However, current still do not adequately solve problems of low identification accuracy, excessive dependency on training data, sizeable computational complexity. This paper proposes a lightweight YOLOv5s-based transfer learning model with network pruning knowledge distillation address...

An automatic system is developed for internal cracks detection in magnetic tiles based on the impact acoustics, using wavelet packet transform (WPT), principal component analysis (PCA) and hidden Markov model (HMM). In this system, detecting device considered as core part to collect analyse sounds. The original sounds are first decomposed up six levels WPT extract features. PCA then performed dimension reduction clustering analysis. By adopting features extracted optimised by inputs, an HHM...

The acoustic-based detection is regarded as an effective way to detect the internal defects of arc magnets. Variational mode decomposition (VMD) has a significant potential provide favorable acoustic signal analysis for such detection. However, performance VMD heavily depends on proper parameter setting. existing optimization methods determining optimal setting still expose shortcomings, including slow convergences, excessive iterations, and local optimum traps. Therefore,...

This paper focuses on developing the acoustic-based detection of arc magnet internal defects under different noises and object types. The major challenge in such a case is that traditional approaches mainly rely expert knowledge experiential features, which results poor generalization performance algorithm for new types objects susceptible to noise interference. work presents novel framework based an end-to-end one-dimensional (1D) convolutional long short-term memory (LSTM) model, where...

The acoustic‐based internal defect detection is essential to ensure the quality of arc magnets efficiently. Swarm decomposition (SWD) conducive processing acoustic signals, but it still confronted with threshold optimization problems. Especially, existing methods for SWD thresholds are merely available a single signal exclusive characteristics, instead various signals similar characteristics. Therefore, threshold‐optimized using grey wolf optimizer (GWO) proposed solve these issues and...

<title>Abstract</title> The strains in α-Fe (bainite) and retained austenite (RA) exhibit an apparent discrepancy during deformation, namely strain partitioning, which can determine the tensile behavior of bainitic steels. Due to involvement plastic deformation accumulation wear process, partitioning phenomenon must be considered study mechanisms. impact tests results indicated that was strongly affected by between RA, initial hardness work-hardening rate were not main factors determining...

Accurate and efficient sorting of diverse magnetic tiles during manufacturing is vital. However, challenges arise due to visual similarities among types, necessitating complex computer vision algorithms with large sizes high computational needs. This impedes cost-effective deployment in the industry, resulting continued use inefficient manual sorting. To address this issue, we propose an innovative lightweight tile detection approach that improves knowledge distillation for a compressed...

Introducing a second phase into steel to improve the wear resistance has become an effective approach for design of wear‐resistant materials in recent years. However, efficient control precipitation behavior, morphology, and size requires further research. Herein, micrometer‐submicrometer dual‐scale TiC‐precipitated bainitic is prepared by treating titanium‐alloyed with solid‐solution forging (SSF) process. By comparing as‐cast sample (NSSFS) SSF‐treated (SSFS) (HTBS) terms microstructure...

Grid-connected inverters need to reduce current harmonics as much possible. After introducing the input signal’s fundamental and main harmonic quadrature components, a discrete state model is created, observer design method used propose extraction algorithm called sinewave extractor (QSE). The QSE stable recursive operator with advantages of no phase displacement ability eliminate mutual influence between components. Compared widely proportional multi-resonant controller, can improve system...

Arc magnet is the critical component of permanent DC motors that produce a constant magnetic field. Internal defects are primary problem affecting quality arc magnets. However, traditional acoustic detection methods for detecting internal magnets usually have low accuracy and efficiency. This article develops an improved SqueezeNet model combines deep residual network GRU to identify signals realizes defect method presents solve gradient disappearance. The neural can remember essential...

WC cemented carbide with high strength and wear resistance were used in many important fields. In this paper, WC-NiCoMo alloy was prepared by vacuum powder metallurgy sintering method, the effect of Ni/Co content on microstructure, mechanical properties friction studied. The microstructure different contents after mainly includes WC, W2C, Co3W3C, Ni2W4C Mo2C. can obtain good comprehensive changing content. With increase from 10 to 30%, hardness particles increased, matrix decreased,...