Batteries are gaining entry into every home and office for they widely used because of their variant benefits. However, these batteries prone to failure caused by charge imbalance in the connected either series or parallel, which can sometimes be catastrophic hence require properly monitored a real-time manner. There exist many battery balancing schemes broadly grouped passive active schemes. All have own advantages disadvantages, it is upon user decide on scheme will best work them....

Rolling element bearings are among the most widely used and also vulnerable components in rotating machinery equipment. Recently, prognostics health management of rolling is more attractive both academics industry. However, many studies have been focusing on prognostic aspect bearing few efforts performed relation to optimal degradation feature selection issue. For effective efficient remaining useful life predictions, three goodness metrics correlation, monotonicity robustness defined...

As the secondary widely used battery, lithium-ion batteries (LIBs) have become core component of energy supply for most devices. Accurately predicting current cycle time LIBs is great importance to ensure reliability and safety equipment. In this paper, considering nonlinear non-Gaussian capacity degradation characteristics LIBs, a remaining useful life (RUL) prediction method based on exponential model particle filter proposed. The test data published by prognostics center excellence in...

Equivalent circuit models are a hot research topic in the field of lithium-ion batteries for electric vehicles, and scholars have proposed variety equivalent models, from simple to complex. On one hand, model cannot simulate dynamic characteristics batteries; on other it is difficult apply complex real-time system. At present, there few systematic comparative studies batteries. The representative first-order resistor-capacitor (RC) second-order RC commonly used literature studied...

The deterioration of the health state lithium-ion batteries will lead to degradation battery performance, reduction maximum available capacity, continuous shortening service life, driving range electric vehicles, and even occurrence safety accidents in vehicles driving. To solve problem that traditional management system is difficult accurately manage predict its condition, this paper proposes mechanism influencing factors degradation. capacity selected as characterization (SOH), long...

Abstract Cellular senescence is a well-orchestrated programmed process involved in age-related pathologies, tumor suppression and embryonic development. TGF-β/Smad one of the predominant pathways that regulate damage-induced developmentally senescence. Here we show canonical TGF-β signaling promotes via miR-29-induced loss H4K20me3. Mechanistically, oxidative stress triggers signaling. Activated gives rise to acute accumulation miR-29a miR-29c, both which directly suppress their novel...

The battery is the most ideal power source of twenty-first century, and has a bright future in many applications, such as portable consumer electronics, electric vehicles (EVs), military aerospace systems, storage for renewable energy sources, because its advantages that make it promising technology. EVs are viewed one novel solutions to land transport they reduce overdependence on fossil energy. With current growth EVs, calls innovative ways supplementing power, may add expensive loads...

Rolling bearings are the key component of large rotating machinery. When such components fail completely, equipment will be out service, causing significant economic loss, and even leading to safety accidents, threatening lives workers. However, it is difficult detect early failure symptom rolling during routine maintenance. Advanced fault diagnosis tools limited in cost technology. Therefore, researchers focus on how implement accuracy convenience method. This paper proposes a method for...

The integration of pedestrian movement analysis with Unmanned Aerial Vehicle (UAV)-based remote sensing enables comprehensive monitoring and a deeper understanding human dynamics within urban environments, thereby facilitating the optimization planning public safety strategies. However, behavior inherently involves uncertainty, particularly in prediction trajectories. A major challenge lies modeling multimodal nature these trajectories, including varying paths targets. Current methods often...

When wind turbine blades are icing, the output power of a tends to reduce, thus informing selection two basic variables speed and power. Then other features, such as degree deviation from curve fitted by normal sample data, extracted build model based on random forest classifier with confusion matrix for result assessment. The indicates that it has high accuracy good generalization ability verified data China Industrial Big Data Innovation Competition. This study looks at ice detection using...

The three-dimensional configuration of the chromatin architecture is known to be crucial for alterations in transcriptional network; however, underlying mechanisms epigenetic control senescence-related gene expression by modulating remain unknown. Here, we demonstrate frequent chromosomal compartment switching during mouse embryonic fibroblasts (MEFs) replicative senescence as characterized senescence-inactivated (SIAEs) and -activated enhancers (SAEs) topologically associated domains...

Since failure of steam turbines occurs frequently and can causes huge losses for thermal plants, it is important to identify a fault in advance. A novel clustering diagnosis method based on t-distribution stochastic neighborhood embedding (t-SNE) extreme gradient boosting (XGBoost) proposed this paper. First, the t-SNE algorithm was used map high-dimensional data low-dimensional space; K-means performed space distinguish from normal data. Then, imbalance problem processed by synthetic...

In this paper, we study online convex optimization in dynamic environments, and aim to bound the regret with respect any sequence of comparators. Existing work have shown that gradient descent enjoys an $O(\sqrt{T}(1+P_T))$ regret, where $T$ is number iterations $P_T$ path-length comparator sequence. However, result unsatisfactory, as there exists a large gap from $Ω(\sqrt{T(1+P_T)})$ lower established our paper. To address limitation, develop novel method, namely adaptive learning for...

Lithium-ion batteries are increasingly used in mobile applications where mechanical vibrations and shocks a constant companion. There is evidence both the academic industrial communities to suggest that electrical performance properties of lithium-ion cells an electric vehicle (EV) affected by road-induced vibration. However, only few studies related effects vibration on degradation have been approached. Therefore, this paper aimed investigate DC resistance, 1C capacity consistency...

Based on a fluid-solid coupling analysis of 59.5 m full-scale blade, this paper proposes scarf adhesive/embedded bolt sleeve hybrid connection configuration for segmented composite blade. The segmentation occurs 18 from the blade root. By incorporating aerodynamic loads calculated using element momentum (BEM) theory, as well gravity and stud preloads, finite (FEA) is performed ABAQUS software to assess stress, strain, displacement, damage behaviors under wind speeds 10 m/s 15 m/s. bilinear...

ABSTRACT This paper explores the use of intelligent photoelectric detection systems in hydrologic remote sensing, emphasizing their ability to revolutionize environmental monitoring and water resource management. Unlike traditional requiring manual calibration, these advanced dynamically adjust parameters real-time measure levels, turbidity, flow velocities with high precision, even under varying conditions. Equipped adaptive sensing data processing, they operate semi-intelligent or fully...

Rolling bearings and gears are important components of rotating machinery. Their operating condition affects the operation equipment. Fault in accessory directly leads to equipment downtime or a series adverse reactions system, which brings enormous pecuniary loss institution. Hence, it is great significance detect status rolling for fault diagnosis. At present, vibration method considered be most common diagnosis, that analyzes by collecting signals. However, rotating-machinery diagnosis...

At present, a variety of standardized 18650 commercial cylindrical lithium-ion batteries are widely used in new energy automotive industries. In this paper, the Panasonic NCR18650PF were studied. The NEWWARE BTS4000 battery test platform is to electrical performances under temperature, vibration and temperature-vibration coupling conditions. Under temperature conditions, discharge capacity same at low was only 85.9% that high temperature. condition, mathematical statistics methods (the...

This paper proposes a novel high-efficiency generation technique for photovoltaic (PV) system, named maximum power point capturing (MPPC) technique. is an aperiodic perturbation MPPC compared to the conventional periodic tracking Firstly, under closed-loop circuit and open-loop circuit, complete I–V curves P–V are defined. Secondly, proposed based on practical model of solar PV systems. The method realizes that (MPP) captured online, its control strategy designed set steady operating area...

There are different types of rechargeable batteries, but lithium-ion battery has proven to be superior due its features including small size, more volumetric energy density, longer life, and low maintenance. However, batteries face safety issues as one the common challenges in their development, necessitating research this area. For safe operation state estimation is very significant parameter identification core estimation. The management system for electric vehicle application must perform...