Faten S. Alamri¹, Adil Ali Saleem², Muhammad I. Khan³, Hafeez Ur Rehman Siddiqui², Amjad Rehman^3,*

CMES-Computer Modeling in Engineering & Sciences, Vol.146, No.1, 2026, DOI:10.32604/cmes.2025.074679 - 29 January 2026

Abstract Motor imbalance is a critical failure mode in rotating machinery, potentially causing severe equipment damage if undetected. Traditional vibration-based diagnostic methods rely on direct sensor contact, leading to installation challenges and measurement artifacts that can compromise accuracy. This study presents a novel radar-based framework for non-contact motor imbalance detection using 24 GHz continuous-wave radar. A dataset of 1802 experimental trials was sourced, covering four imbalance levels (0, 10, 20, 30 g) across varying motor speeds (500–1500 rpm) and load torques (0–3 Nm). Dual-channel in-phase and quadrature radar signals were captured at 10,000 samples per second… More >

Yang Liu, Qi Lu, Junjie Wu, Huaichang Yin, Shiwei Cheng^*

CMC-Computers, Materials & Continua, Vol.86, No.3, 2026, DOI:10.32604/cmc.2025.070273 - 12 January 2026

Abstract The development of brain-computer interfaces (BCI) based on motor imagery (MI) has greatly improved patients’ quality of life with movement disorders. The classification of upper limb MI has been widely studied and applied in many fields, including rehabilitation. However, the physiological representations of left and right lower limb movements are too close and activated deep in the cerebral cortex, making it difficult to distinguish their features. Therefore, classifying lower limbs motor imagery is more challenging. In this study, we propose a feature extraction method based on functional connectivity, which utilizes phase-locked values to construct a… More >

Yu-Tang Cao¹, Shin-Hung Lin¹, Raphael Brent Lau Hundangan², Edward Basaong Ang ², Tsung-Liang Wu^1,*

CMC-Computers, Materials & Continua, Vol.84, No.3, pp. 5255-5277, 2025, DOI:10.32604/cmc.2025.066877 - 30 July 2025

Abstract The gantry crane system is a crucial equipment for loading and unloading containers at the shore site. The existing trend of crane technology is in the transition from in-site operators to remote operators outside the cargo handling site, which will comply with all safety regulations, including conditional crane monitoring. However, remote control introduces certain drawbacks in machine maintenance, as no on-site operators can provide real-time feedback on abnormalities. Therefore, this study proposes a failure detection system that uses vibratory sensors installed on machines to monitor and provide early warnings for various failures. For faulty event… More >

Wenxia Cheng¹, Qinliu Cao¹, Bin Yuan¹, Jiale Yan^2,*

CMES-Computer Modeling in Engineering & Sciences, Vol.143, No.3, pp. 3197-3214, 2025, DOI:10.32604/cmes.2025.065041 - 30 June 2025

Abstract As a critical component of pulse solid rocket motors (SRMs), the soft pulse separation device (PSD) is vital in enabling multi-pulse propulsion and has become a breakthrough in SRM engineering applications. To investigate the opening performance of the PSD, an axial PSD incorporating a star-shaped prefabricated defect was designed. The opening process was simulated using peridynamics, yielding the strain field distribution and the corresponding failure mode. A single-opening verification test was conducted. The simulation results showed good agreement with the experimental data, demonstrating the reliability of the peridynamic modeling approach. Furthermore, the effects of the… More >

Yiqin He^1,2, Chenhan Hu^1,2, Xiangshu Meng^1,2, Rundong Ma^1,2, Kexin Duan^1,2, Yu Guo^2,3, Changqing Liu^1,2, Caiyun Ma^1,2, Gaofeng Liu^1,2,*, Chunjing Wang^1,2,*

BIOCELL, Vol.49, No.6, pp. 1037-1055, 2025, DOI:10.32604/biocell.2025.064633 - 24 June 2025

Abstract Background: Mesenchymal stem cells (MSCs) have shown great potential in treating neurodegenerative diseases, including Parkinson’s disease (PD), due to their ability to differentiate into neurons and secrete neurotrophic factors. Genetic modification of MSCs for PD treatment has become a research focus. Methods: In this study, rat pulmonary mesenchymal stem cells (PMSCs) were transduced with lentiviral vectors carrying Lmx1a/NeuroD1 to establish genetically engineered PMSCs (LN-PMSCs) and induce their differentiation into dopaminergic neurons. The LN-PMSCs were then transplanted into the right medial forebrain bundle region of PD model rats prepared using the 6-Hydroxydopamine (6-OHDA) method. Four weeks… More >

Helen Shin Huey Wee, Nur Syazreen Ahmad^*

CMES-Computer Modeling in Engineering & Sciences, Vol.143, No.2, pp. 1301-1354, 2025, DOI:10.32604/cmes.2025.063611 - 30 May 2025

Abstract This paper reviews recent advancements in system identification methods for perturbed motorized systems, focusing on brushed DC motors, brushless DC motors, and permanent magnet synchronous motors. It examines data acquisition setups and evaluates conventional and metaheuristic optimization algorithms, highlighting their advantages, limitations, and applications. The paper explores emerging trends in model structures and parameter optimization techniques that address specific perturbations such as varying loads, noise, and friction. A comparative performance analysis is also included to assess several widely used optimization methods, including least squares (LS), particle swarm optimization (PSO), grey wolf optimizer (GWO), bat algorithm… More >

Mudasir Dilawar^*, Muhammad Shahbaz

CMC-Computers, Materials & Continua, Vol.83, No.3, pp. 5091-5114, 2025, DOI:10.32604/cmc.2025.064090 - 19 May 2025

Abstract In the era of Industry 4.0, condition monitoring has emerged as an effective solution for process industries to optimize their operational efficiency. Condition monitoring helps minimize unplanned downtime, extending equipment lifespan, reducing maintenance costs, and improving production quality and safety. This research focuses on utilizing Bayesian search-based machine learning and deep learning approaches for the condition monitoring of industrial equipment. The study aims to enhance predictive maintenance for industrial equipment by forecasting vibration values based on domain-specific feature engineering. Early prediction of vibration enables proactive interventions to minimize downtime and extend the lifespan of critical… More >

Danijel Pavković^*, Pietro Kristović, Mihael Cipek, Dragutin Lisjak

Energy Engineering, Vol.122, No.5, pp. 1669-1696, 2025, DOI:10.32604/ee.2025.061916 - 25 April 2025

Abstract In deep drilling applications, such as those for geothermal energy, there are many challenges, such as those related to efficient operation of the drilling fluid (mud) pumping system. Legacy drilling rigs often use paired, parallel-connected independent-excitation direct-current (DC) motors for mud pumps, that are supplied by a single power converter. This configuration results in electrical power imbalance, thus reducing its efficiency. This paper investigates this power imbalance issue in such legacy DC mud pump drive systems and offers an innovative solution in the form of a closed-loop control system for electrical load balancing. The paper… More > Graphic Abstract

Chayut Bunterngchit¹, Laith H. Baniata², Mohammad H. Baniata³, Ashraf ALDabbas⁴, Mohannad A. Khair⁵, Thanaphon Chearanai⁶, Sangwoo Kang^2,*

CMC-Computers, Materials & Continua, Vol.83, No.1, pp. 517-536, 2025, DOI:10.32604/cmc.2025.060368 - 26 March 2025

Abstract Stroke is a leading cause of death and disability worldwide, significantly impairing motor and cognitive functions. Effective rehabilitation is often hindered by the heterogeneity of stroke lesions, variability in recovery patterns, and the complexity of electroencephalography (EEG) signals, which are often contaminated by artifacts. Accurate classification of motor imagery (MI) tasks, involving the mental simulation of movements, is crucial for assessing rehabilitation strategies but is challenged by overlapping neural signatures and patient-specific variability. To address these challenges, this study introduces a graph-attentive convolutional long short-term memory (LSTM) network (GACL-Net), a novel hybrid deep learning model… More >

Kai Shi, Dongyang Yang^*

Energy Engineering, Vol.122, No.2, pp. 471-492, 2025, DOI:10.32604/ee.2025.059651 - 31 January 2025

Abstract The rapid development of new energy power generation technology and the transformation of power electronics in the core equipment of source-grid-load drives the power system towards the “double-high” development pattern of “high proportion of renewable energy” and “high proportion of power electronic equipment”. To enhance the transient performance of AC/DC hybrid microgrid (HMG) in the context of “double-high,” a type virtual synchronous generator (-VSG) control strategy is applied to bidirectional interface converter (BIC) to address the issues of lacking inertia and poor disturbance immunity caused by the high penetration rate of power electronic equipment and… More >