This paper proposes a new meta-heuristic algorithm, named wild geese migration optimization (GMO) algorithm. It is inspired by the social behavior of swarming in nature. They maintain special formation for long-distance small groups survival and reproduction. The mathematical model established based on these behaviors to solve problems. Meanwhile, performance GMO algorithm tested stable benchmark function CEC2017, its potential dealing with practical problems studied five engineering design...

Industrial robots are prone to failure due harsh working environments, which affects movement accuracy. The fault diagnosis of industrial has become an indispensable part robot collaborative maintenance in intelligent manufacturing. Most existing diagnostic methods only use a single data source, and the accuracy will be affected signal acquisition errors noise interference. This paper proposes multi-source fusion channel attention convolutional neural network (MD-CA-CNN) for multi-joint...

Robot dynamics model uncertainty and unpredictable external perturbations are important factors that influence control accuracy stability. To accurately compensate for the in sliding mode (SMC), a new parallel network (PCR) is proposed this paper. The parallelizes radial basis function convolutional neural network, which gives it advantage of making full use one-dimensional data fitting results two-dimensional feature information, realizing deep learning multidimensional improving model’s...

To advance the calculation performance of battle royale optimization algorithm (BRO), a hybrid improved BRO (HBC) is proposed in this paper. The level mechanism chicken swarm (CSO) integrated into to divide all elite players and ordinary players, relationship different established. Then, an player update method random exploring directional small range improve development ability. improved, guidance introduced make full use excellent location information population. verification experiment...

Applies TSP(Traveling Salesman Problem) and solving algorithm to hole swarm NC programing, it could optimize tool path, reduce cutting time. According points coordinates, the distance between be computed, take link lines as factors, TSP model established. backtracking genetic solve this model, shortest path length that pass through all ascertained, program made rapidly software based on algorithm, in CAD/CAM system, combined with method, some parts products composed of large numbers holes...

This paper addresses the challenge of detecting unknown or unforeseen obstacles in railway track transportation, proposing an innovative detection strategy that integrates incremental clustering algorithm with lightweight segmentation techniques. In phase, innovatively employs as a core method, combined dilation and erosion theories, to expand boundaries point cloud clusters, merging adjacent elements into unified clusters. method effectively identifies connects spatially clusters while...

Substation configuration description (SCD) plays a significant role in IEC 61850 smart substations. This paper analyses present situations of SCD application and proposes an effective solution secondary system visualization intelligent diagnosis for substations using approved model. It is possible to realize various advanced applications object-oriented management substation based on the complete model, which will provide reliable technical support operation without human being, dispatching...

In recent years, the number of global new energy vehicles has soared, and production enterprises are facing problems such as increasing market demand intensifying industry competition. The structural design balance planning battery pack line determine output ener

Abstract In recent years, more and factories have begun to use automatic guided vehicles (AGVs) instead of manual work in production, transportation, other links, which has broad application prospects market prospects. This paper takes the new energy battery workshop as research object, analyzes AGV operation plan according overall workflow material distribution, uses AnyLogic simulate map complete algorithm test. A* global is optimized improved, optimal shortest route with smoothness from...

Driven by Industry 4.0 and Made in China 2025, mobile robots have ushered rapid development. In this paper, a mechanical structure design scheme of heavy-duty robot is proposed, including the drive scheme, etc. Based on designed robot, finite element model established, stress distribution deformation under full-load condition are obtained through static characterization model, finally road experiment carried out for experimental results show that operates well various working conditions...

The stator of a flat wire motor is the core component new energy vehicles. However, detecting quality defects in coating process real-time challenge. Moreover, number large, and pixels single defect are very few, which make it difficult to distinguish features accurate detection more difficult. To solve this problem, article proposes YOLOv8s-DFJA network. network based on YOLOv8s, uses DSFI-HEAD replace original head, realizing task alignment. It enhances joint between classification...

In order to increase the heavy-duty AGV load capacity 60t, this paper proposes a design scheme of frame structure based on working demand workshop; designed structure, finite element model is established, and static simulation carried out get stress distribution deformation under full-loaded condition. Through dynamic performance analysis frame, 7th 12th modal frequencies vibration pattern diagrams are obtained, results show that good, each greater than road excitation, no resonance damage...

This paper introduces an enhanced Whale Optimization Algorithm, named the Multi-Swarm Improved Spiral Algorithm (MISWOA), designed to address shortcomings of traditional (WOA) in terms global search capability and convergence velocity. The MISWOA combines adaptive nonlinear factor with a variable gain compensation mechanism, weights, advanced spiral strategy, resulting significant enhancement algorithm's capability, velocity, precision. Moreover, incorporates multi-population further...

The curing process of hair-pin motor stator insulation is critical, as residual stress increases the risk partial discharge and shortens a motor’s lifespan. However, studies on stress-induced defects during varnish remain limited. This research integrates three-dimensional numerical simulations experimental analysis to develop model based unsaturated polyester imide resin, aiming explore mechanisms formation optimization strategies. A dual fiber Bragg grating (FBG) sensor system employed for...

Inspection robots, which improve hazard identification and enhance safety management, play a vital role in the examination of high-risk environments many fields, such as power distribution, petrochemical, new energy battery factories. Currently, position precision robots is major barrier to their broad application. Exact kinematic model control system required location accuracy during movement on unstructured surfaces. By virtual engine digital twins, this study put forward visualization...

The electric-tracked intelligent detection device is extensively used in engineering exploration and construction. However, unstructured complex terrains, its stability challenged by a high center of gravity poor road conditions, making the enhancement analysis crucial. This study based on tracked vehicle models, constructing kinematic dynamic equations for device, developing virtual physical prototypes. Combining theoretical analysis, simulations, testing, analyzes motion parameters under...

We report an efficient intracavity second-harmonic generation (SHG) at 1066 nm in a non-linear optical crystal, GdCa4O(BO3)3 (GdCOB), performed with diode end pumped continuous-wave (CW) Nd:LuVO4 laser. In the case of laser crystal frequency-doubled GdCOB cut for type I frequency doubling. A CW SHG output power 5.18 W has been obtained using 10 mm long GCOB crystal. The conversion efficiency respect to incident pump was 28.5%.

Aiming at the problems existing in traditional chicken colony algorithm, this article proposes an improved CSO algorithm (ICSO). Firstly, target optimization strategy is introduced process of rooster updating, mutation factor hen and influence increased rule chick updating. Secondly, validity excellence ICSO are verified by benchmark functions. Finally, applied to inverse kinematics robot. The results show that compared with PSO, can solve high precision.

By analyzing the working principle of chassis hydraulic system a certain tracked vehicle, simulation model virtual test platform has been built.The is not only used to simulate pressure and flow rate in environment , but also invocate models optimize state parameters.According simulating some parts, detailed can be replaced with functional computation greatly reduced by replacing.