上海工程技术大学学报

2026, 40(1): 1-2.

Abstract:

[Abstract](55) [FullText HTML] (43) [PDF 373KB](48)

Vector control of hybrid magnetized magnetic gear motor based on improved dragonfly algorithm

LIU Jun, ZHU Zina, LIU Rui, XU Zhengyang

2026, 40(1): 1-9. doi: 10.12299/jsues.24-0171

Abstract:
Aiming at the problems of oscillation and overshoot in the contactless drive of a hybrid magnetized magnetic gear motor (HM-MGM), a method combining an improved dragonfly algorithm (IDA) with (proportional-integral) PI control was proposed to adjust the PI controller parameters. The performance of the algorithm was improved by introducing Tent map for initialization group, improving weight coefficients and incorporating a differential evolution algorithm. Furthermore, the fitness function of the algorithm was improved by adding a penalty term to suppress overshoot and oscillation. Based on the HM-MGM simulation model, a comparative study was conducted using PI, DA-PI and IDA-PI control methods. The results show that the system under IDA-PI control exhibits a faster dynamic response, with significantly reduced overshoot and steady-state error, thereby validating the effectiveness of the proposed method.

[Abstract](61) [FullText HTML] (36) [PDF 2073KB](14)

Design and analysis of a novel electromagnetically driven 6-DOF compliant mechanism for micro-positioning

XIE Chao, LAI Leijie

2026, 40(1): 10-17. doi: 10.12299/jsues.24-0235

Abstract:
To address the shortcomings of current six-degree-of-freedom (6-DOF) compliant mechanisms, such as limited travel range and large cumulative errors, a novel 6-DOF parallel compliant mechanism for electromagnetically driven micro-nano positioning was designed. Kinematic analysis was conducted on the components and structural characteristics of the new 6-DOF compliant positioning mechanism, and a kinematic model was established and derived. Furthermore, based on the force-deformation characteristics of the compliant units and the geometric characteristics of the parallel mechanism, a static compliance analytical model of the 6-DOF compliant mechanism was established using the compliance matrix method. The analytical model was verified through finite element software. The research results can provide a reference for the design and application of multi-degree-of-freedom micro-nano positioning platforms.

[Abstract](49) [FullText HTML] (34) [PDF 3599KB](11)

Global frequency synchronization of complex power networks based on cooperative control

MA Zhenfeng, CHEN Qiaoyu, MAO Qi

2026, 40(1): 18-22, 29. doi: 10.12299/jsues.24-0206

Abstract:
The problem of global asymptotic frequency synchronization for complex power networks was investigated, and a novel cooperative control strategy was proposed. The strategy simultaneously controlled both the generator and load sides, and achieved global frequency synchronization in complex power networks. Compared with the traditional linearization methods, the restriction that the bus voltage phase difference must not exceed $0.5{\text{π}} $ was eliminated by the proposed cooperative control strategy. This indicates that asymptotic frequency synchronization can be achieved for complex power networks with any bus voltage phase difference, which expands the system's application scenarios. In addition, based on Lyapunov stability theory, sufficient conditions for the complex power network to achieve global asymptotic frequency synchronization were derived. Finally, the simulation results demonstrate that the proposed method is correct and effective.

[Abstract](40) [FullText HTML] (28) [PDF 1042KB](11)

Rolling bearing fault diagnosis based on correlation frequency loss Wasserstein generative adversarial network

CHEN Jingdong, CHEN Xingjie, LYU Zhaomin

2026, 40(1): 23-29. doi: 10.12299/jsues.24-0205

Abstract:
To address the decline in rolling bearing fault diagnosis performance caused by imbalanced fault samples, a fault diagnosis method based on correlation frequency loss generative adversarial network (GAN) was proposed. The mutual correlation between real and generated data was calculated to quantitatively analyze their differences in the frequency domain. which was used to guide model training, improve the similarity between the generated and real data, and overcome the difficulty of synthesizing fault frequencies in the data. Finally, a convolutional neural network (CNN) was employed for fault diagnosis. The proposed method is experimentally validated using the Case Western Reserve University bearing dataset. Under imbalance ratios of 10:1, 20:1 and 50:1, the sample generation capability of the correlation frequency loss GAN was significantly higher than that of other methods, leading to a marked improvement in the fault recognition rate. This results verifies the effectiveness and superiority of the proposed method.

[Abstract](53) [FullText HTML] (34) [PDF 1086KB](13)

Photovoltaic power prediction based on multi-head attention Bi-LSTM

DENG Yueyang, DENG Shengxiang, YAP Johnson

2026, 40(1): 30-35. doi: 10.12299/jsues.24-0212

Abstract:
To address the challenge of predicting photovoltaic (PV) power generation caused by its inherent randomness and uncertainty, a multi-head attention-based bidirectional long short-term memory (Bi-LSTM) model was proposed. Meteorological and PV system operation data highly correlated with power generation were extracted through Pearson correlation analysis, and data preprocessing was performed by combining outlier handling with standardization. Outlier handling reduces the impact of extreme data and mitigates gradient oscillation during training, while standardization ensures consistency in feature scales to avoid imbalanced weight learning. Different weights were assigned to critical temporal features by the multi-head attention mechanism to enhance the ability to capture PV power trends. Forward and backward dependencies in the time series were processed by the Bi-LSTM to improve adaptability to complex sequential data. Experimental results show that in the application to a PV plant in Xinjiang, the proposed model achieves significantly higher prediction accuracy than the traditional LSTM network, featuring lower errors and good promising application prospects.

[Abstract](56) [FullText HTML] (35) [PDF 1404KB](13)

Pedestrian distribution characteristics in L-shaped passageway of subway station

LIU Haokun, HU Hua, DING Hongshi, HAO Yanxi, FANG Yong

2026, 40(1): 36-42, 61. doi: 10.12299/jsues.24-0252

Abstract:
To quantitatively describe the uneven distribution characteristics of pedestrians in the direction of passageway width, two indicators—the track belt width and pedestrian distribution dispersion coefficient— were proposed. Calculation methods for these indicators were developed based on a probability and statistics model. Video data were collected from a typical L-shaped passageway in a subway station. The probability density function of pedestrian distribution was fitted under different service levels for various walking stages (straight zone, pre-turn buffer zone, turning zone, and post-turn buffer zone). The dispersion coefficient of pedestrian distribution and the variation law of pedestrian track belt width with walking stage and pedestrian flow were analyzed. The results show that the dispersion degree of pedestrian distribution increases as the pedestrian flow decreases, with greater variation amplitude in the two buffer stages before and after the turn. As pedestrian flow increases, the track belt width expands in all walking stages, with the fastest growth observed during the turning stage. During the turn, the centroid of pedestrian distribution shifts from the central axis of the passageway towards its interior. These insights offer a basis for organizing L-shaped pedestrian flow lines and designing facilities in subway stations.

[Abstract](47) [FullText HTML] (27) [PDF 2019KB](11)

Analysis of statistical model of vehicle load for combined road-rail bridges based on WIM and SHM systems

LU Guangming, HE Yuelei, MENG Xiaoliang

2026, 40(1): 43-48. doi: 10.12299/jsues.24-0174

Abstract:
The fatigue of combined road-rail bridges is caused by the coupling effect of motor vehicle and train loads. To investigate this phenomenon, the measured vehicle load data from the weigh-in-motion (WIM) system and the structural health monitoring (SHM) system of a kilometer-span combined road-rail suspension bridge over the Yangtze River were analyzed in depth. Typical probability density function was employed to fit parameters related to vehicle loads. The results show that the vehicle load parameters for both the road and railway are similar. The mass of motor vehicles follows a multimodal distribution with heavy-tailed characteristics. The axle mass ratio of motor vehicles and the axle mass of trains are normally distributed. The speed of the V10 vehicle model follows a Gaussian mixture distribution, while speeds of other vehicle models are normally distributed. The headway follows a gamma distribution, with train headways being significantly longer than those of motor vehicles. The high consistency between the simulated random traffic flow and the measured traffic flow indicates that the established statistical model of vehicle loads is applicable to the fatigue analysis of combined road-rail bridges.

[Abstract](47) [FullText HTML] (33) [PDF 1237KB](12)

Research on rail fastener failure diagnosis method based on LabVIEW

YANG Yuhan, WANG Anbin, WANG Lei, CHEN Yang

2026, 40(1): 49-54. doi: 10.12299/jsues.24-0240

Abstract:
Fasteners are important components connecting the rail and the supporting structure. To facilitate research on fastener failure diagnosis methods, a track fastener failure diagnosis system integrating signal acquisition, storage, and analysis was developed based on LabVIEW. The NI-cRIO9056 chassis and the NI-9234 voltage module were used as the hardware to acquire the vibration signals. To address the difficulty in extracting the characteristic frequency of fastener failure, a method combining wavelet packet and Hilbert envelope spectrum was proposed. The acquired vibration signals were first subjected to wavelet packet decomposition, and signals in the frequency bands with large energy changes were reconstructed. Finally, the Hilbert envelope spectrum was used to identify the fastener status. Experimental results show that this method can accurately diagnose fastener failure.

[Abstract](42) [FullText HTML] (30) [PDF 1331KB](12)

Study on color-changing response of photochromic polyester fabric to ultraviolet lamp irradiance

CHENG Peiwen, CHE Mengyao, LIU Qian

2026, 40(1): 55-61. doi: 10.12299/jsues.24-0188

Abstract:
Photochromic polyester fabric was prepared using red color-changing microcapsules via high temperature and high pressure dyeing. The mass fraction of dispersant NNO and the dosage of microcapsules were optimized for the best color-changing effect. Orthogonal experiments were conducted to further investigate the factors affecting the color changing performance of the photochromic fabric, and the cyclic color-changing properties and color fastness to rubbing were evaluated. The results show that the fabric exhibits the best photochromic properties when the mass fraction of photochromic microcapsules is 7% and the dispersant mass concentration is 1.0 g/L. ultraviolet (UV) irradiance is identified as the most important factor affecting the color-changing effect, exerting the greatest influence on the color difference (ΔE) of the fabric. In addition, the fabric demonstrates excellent color fastness to rubbing, with dry and wet rubbing fastness both rated at grade 4-5. After 20 cycles of UV–visible light irradiation, the loss in color difference is only 11.54%.

[Abstract](47) [FullText HTML] (31) [PDF 905KB](11)

Numerical simulation of inclusions in K439B turbine nozzle casting

XIA Mengyuan, WU Wenyun, FANG Qingyuan

2026, 40(1): 62-67. doi: 10.12299/jsues.24-0193

Abstract:
The turbine nozzle is an important component of aircraft. During the casting process of the turbine nozzle made of high-temperature alloy K439B, inclusions are prone to be generated, leading to a decrease in its performance. The finite element simulation software ProCAST was used to analyze the influence of pouring temperature and pouring speed on inclusion. The results show that the inclusions in the turbine nozzle castings tend to decrease as pouring temperature increases. With increasing pouring speed, the diameter of inclusions first increases and then decreases, while the number of inclusions decreases. The inclusions were the least when the pouring speed was 176 mm/s. The optimal process parameters were a pouring temperature of 1520 ℃ and a pouring speed of 176 mm/s, under which inclusion defects were minimized. The finding can provide a reference for improving the casting process of the turbine nozzle, reducing inclusions and enhancing the performance of the castings.

[Abstract](37) [FullText HTML] (27) [PDF 1728KB](12)

Experimental study on dehumidification performance of dual cold source dehumidifier with exhaust air heat recovery

WEI Xiadan, FU Yunzhun, ZHANG Heng

2026, 40(1): 68-73. doi: 10.12299/jsues.24-0232

Abstract:
A dual cooling source dehumidifier with exhaust heat recovery function was proposed, which recovers the cooling capacity of indoor exhaust for fresh air cooling. The dehumidification performance was experimentally investigated, along with the effects of various air volumes and water supply temperatures. The results show that under the conditions of a water supply flow rate of 1.7m³/h, compressor power of 0.8 kW, water supply temperature of 13 ℃, and air flow rate of 350 m³/h, the moisture content at the air supply outlet can reach 7.6 g/kg in the fresh air dehumidification mode, and 7.4 g/kg in the indoor circulation dehumidification mode can reach g. Reducing the air volume or lowering the water supply temperature will improve the dehumidification performance of the dehumidifier.

[Abstract](47) [FullText HTML] (30) [PDF 1055KB](11)

Simulation analysis of thread grease sealing based on nonlinear seepage flow

LI Xiuyu, MA Lifeng, MENG Xiaoming

2026, 40(1): 74-80. doi: 10.12299/jsues.24-0220

Abstract:
Leakage at the thread engagement of API oil casing affects the safety and efficiency of oil and gas extraction. A simulation method based on the thread grease sealing mechanism and nonlinear seepage theory was proposed, and the feasibility of the simulation prediction of thread grease sealing performance was verified. The sealing mechanism of the thread grease was revealed by the plugging mechanism of thread grease particles, the non-Newtonian characteristics of the base grease, and the nonlinear seepage theory. According to this sealing mechanism, the simulation of base grease seepage in the particle plugging section was realized. The results show that both temperature increase and particle size decrease lead to the reduction of the sealing performance of thread grease, and the predicted leakage resistance of thread grease is similar in magnitude to that under actual working conditions, which provides some guidance for the improvement of thread grease sealing performance and simulation prediction research.

[Abstract](60) [FullText HTML] (32) [PDF 1497KB](12)

Research progress on visual detection technology for port container handling equipment

FEI Fei, CUI Guohua, YANG Mei, WANG Yalan, WEI Dan

2026, 40(1): 81-87. doi: 10.12299/jsues.24-0191

Abstract:
A systematic review was presented on vision-based detection techniques for unmanned container management, covering image preprocessing, object detection, and recognition. Detection algorithms were classified into “feature + classifier” models and deep learning models, with their application objects, advantages, and limitations summarized. Challenges and trends in typical port scenarios were discussed, along with research progress in key machine vision techniques for autonomous container reach stackers based on engineering practice. Current findings show that consensus has been reached on the integration of feature engineering and deep learning, as well as on the trade-offs between real-time perception and detection accuracy. However, limitations still exist under conditions such as illumination changes, occlusion, multi-scale detection, and scarce labeled data. Future research should focus on lightweight network design, multi-sensor fusion, and domain-adaptive transfer learning to facilitate engineering deployment and intelligent upgrading of port container detection.

[Abstract](55) [FullText HTML] (39) [PDF 1335KB](13)

Traffic sign detection based on YOLOv8-s and BiFPN fusion

SHAO Yinchun, LUO Suyun, WEI Dan

2026, 40(1): 88-94. doi: 10.12299/jsues.24-0203

Abstract:
Traffic sign detection plays a crucial role in driver assistance system, contributing significantly to driving safety and traffic efficiency. To address the challenges posed by the small size, wide variety and complex background interference of traffic signs, a traffic sign detection algorithm based on improved YOLOv8-s, named BTSD-YOLO, was proposed. By integrating the multi-level structure of the BiFPN, the multi-scale feature fusion capability of the model was enhanced. A small object detection layer was added to strengthen the detection capability for small-sized targets. The WIoU_v3 loss function was adopted to reduce harmful gradients generated by low-quality examples. The results indicate that the proposed algorithm can significantly enhance detection ability of small targets, and optimize the fusion mechanism of multi-scale information, effectively reducing false positive and false negative rates. Compared with the original YOLOv8-s algorithm, the improved algorithm achieves a 6.9% increase on the COCO accuracy evaluation index mAP@50 index, and a 6.0% increase on the mAP@50:95 metric, fully validating the effectiveness of the proposed improvement.

[Abstract](55) [FullText HTML] (26) [PDF 1556KB](11)

Research progress of FBG in physical signs monitoring

YAN Xiyan, ZHANG Ziwei, FENG Yan, ZHANG Hua

2026, 40(1): 95-100. doi: 10.12299/jsues.24-0241

Abstract:
Monitoring of human vital signs facilitates early detection of potential diseases, guidance for clinical intervention, and promotion of rehabilitation. Compared with traditional sensors such as capacitive, inductive, micro-turbine, and thermistor sensors, fiber Bragg grating (FBG) sensors are characterized by good linearity, high sensitivity, anti-electromagnetic interference, and ease of integration, and thus are considered to have promising prospects in human vital sign monitoring. The application status of FBG sensors in monitoring four major vital sign parameters (body temperature, blood pressure, pulse, and respiration) was systematically reviewed. It is found that FBG sensors are feasible for all four parameters. Improvements have been achieved particularly in signal quality and comfort. Multi-parameter combined monitoring is recognized as a research hotspot. Future efforts should focus on integrating intelligent algorithms and compact design to promote clinical early warning and remote rehabilitation applications.

[Abstract](49) [FullText HTML] (29) [PDF 763KB](11)

Analysis of water migration characteristics of core removal corn

HUANG Lei, WU Mengqi

2026, 40(1): 101-106. doi: 10.12299/jsues.24-0225

Abstract:
To reduce energy consumption and drying time in corn drying, the conventional storage form of corn was taken as the research object. A corn model was established in SolidWorks, and computational fluid dynamics simulations were conducted using Fluent to analyze water loss during the drying process. By changing the overall structure of corn, the drying performance of corn in the coreless state and the conventional state were compared under the same temperature and wind speed conditions. The results show that under the same working conditions, the moisture content of coreless corn grains decreases to 12%~14%, meeting the standard for high-quality seed storage. The overall drying efficiency is improved by approximately 37.4%, while ensuring the integrity of corn seeds and achieving a higher germination rate.

[Abstract](48) [FullText HTML] (36) [PDF 2457KB](11)

Current Issue 2026 Vol. 40, No. 1

Current Issue
2026 Vol. 40, No. 1