The bottleneck in the preparation of supercapacitors is how to develop high-energy and high-power-density devices by using appropriate materials. Herein, a novel NixCo3–x-B/GO heterostructure material was synthesized through simple ultrasonic precipitation method. prepared exhibits significant improvements supercapacitor performance than NixCo3–x-B. presence GO effectively suppresses excessive growth accumulation NixCo3–x-B; therefore, Ni2.7Co0.3-B/GO best as an electrode for...

Distinguishing the types of partial discharge (PD) caused by different insulation defects in gas-insulated switchgear (GIS) is a great challenge power industry, and improving recognition accuracy relevant models one key problems. In this paper, convolutional neural network long short-term memory (CNN-LSTM) model proposed, which can effectively extract utilize spatiotemporal characteristics PD input signals. First, spatial higher-level signals be obtained through CNN network, but because deep...

Partial discharge (PD) is one of the major form expressions gas-insulated switchgear (GIS) insulation defects. Because PD will accelerate equipment aging, online monitoring and fault diagnosis plays a significant role in ensuring safe reliable operation power system. Owing to feature engineering or vanishing gradients, however, existing pattern recognition methods for GIS are complex inefficient. To improve accuracy, novel method based on light-scale convolutional neural network (LCNN)...

The construction of the ubiquitous power internet things (UPIoT) provides a new feasible solution for gas‐insulated switchgear (GIS) online monitoring and fault diagnosis, but it also puts forward greater requirements time accuracy. How to find an effective real‐time model that can be applied UPIoT mobile terminals has become urgent problem needing solved. To this end, study proposes lightweight convolutional neural network (LCNN) GIS partial discharge (PD) pattern recognition using three...

Abstract Despite the complicated fault mechanism of power equipment, with increasing promotion and development Ubiquitous Power Internet Things (UPIoT), information equipment can be instantly saved, which makes possible intelligent diagnosis via samples. This study proposes a new method to implement comprehensive by adopting ShuffleNet lightweight convolution neural network (SLCNN). Considering requirements UPIoT terminal, this constructs six models, are measured in terms recognition...

The advancement of Industry 4.0 and Industrial Internet Things (IIoT) has laid more emphasis on reducing the parameter amount storage space model in addition to automatic accurate fault diagnosis. In this case, paper proposes a lightweight convolutional neural network (LCNN) method for intelligent diagnosis rotating machinery, which can largely satisfy need less as well high accuracy. First, light-weight convolution blocks are constructed through basic elements such spatial separable...

A porcelain insulator is an important part to ensure that the insulation requirements of power equipment can be met. Under influence their structure, insulators are prone mechanical damage and cracks, which will reduce performance. After a long-term operation, crack expansion eventually lead breakdown safety hazards. Therefore, it great significance detect cracks safe reliable operation grid. However, most traditional methods detection involve offline or contact measurement, not conducive...

As an important part of the power system, gas insulated switchgear (GIS) will cause serious failures once they break down, threatening safety entire grid. In construction Ubiquitous Power Internet Things (UPIoT), intelligent terminal taking online monitoring as means keeps equipment fault samples and forms sample database, which is great significance to discover latent insulation defects GIS take necessary measures in advance ensure safe reliable operation Aiming at database provided by...

The market development trend of foldable AMOLED screen is introduced in the article, and then core links industry chain mobile phones drawn off. Furthermore, that improving bending ability an urgent problem to be solved achieving lightweight proposed. Based on this demand, a specific structural scheme complete set evaluation methods achieve affect are put forward. By combining simulation product failure test, mechanism analyzed, also, main secondary factor affecting After that, standardized...

Carbon nanotubes (CNTs), due to their unique one-dimensional nanostructures and extraordinary physicochemical properties, have been a research hotspot in the field of materials science nanotechnology. Their extremely high strength, good electrical conductivity, excellent thermal conductivity make CNTs promising for wide range applications many fields. In medical field, are used drug delivery, tumor treatment, bioimaging biocompatibility tunable surface properties. Especially can be as...

A 0.6 mm side Narrow Bezel Back‐Plane (BP) was developed and applied in the 5.5 inch flexible AMOLED display for getting nearly 100% screen‐to‐body ratio. In order to achieve narrowbezel display, V SS signal line on of GOA area, which patterned at source/drain layer, has been top area with an additional metal layer instead. By analyzing impact this second (gate drive array), structure optimized, raised up even narrower bezel 0.5 mm. Furthermore, achievable BP process realize better...

Partial discharge (PD) is the main characterization of gas insulated switchgear (GIS) insulation defects, which will further aggravate equipment aging. Therefore, monitoring PD GIS great significance to detect defects and avoid failure ensure safe reliable operation grid. However, traditional partial pattern recognition mostly relies on artificial feature engineering, appropriateness selection directly affects result. This paper proposes a classifier that automatically selects classifies...

During the construction of power Internet Things, data entire process equipment operation will be monitored and retained. Therefore, representative comprehensive problem fault sample is solved. In this way, artificial intelligence technology can used to carry out in-depth mining in order digitally intelligently diagnose failures. To end, paper proposes an efficient lightweight convolutional neural network for intelligent diagnosis mechanical insulation faults equipment. This first introduces...

The development trend of flexible AMOLED mobile is introduced in this paper, and the key optical problems to be solved display are clarified. Then, based on urgency solving high brightness mode uniformity problem, a complete set test methods evaluation system for proposed. According principle light‐emitting structure, mechanism problem analyzed. What's more, IR Drop model proposed, at same times, effects factors such as SD Al thickness, dual Vdd A.R. Vss voltage drop simulated. After mass...

Partial discharge diagnosis is considered as an important means to diagnose the insulation state of gas insulated switchgear (GIS). Aiming at non-stationary characteristics partial (PD) signals, a feature extraction method based on variational mode decomposition (VMD) and multi-scale permutation entropy (MPE) proposed. Firstly, VMD used decompose PD signal, multiple intrinsic modal functions are obtained; Then, MPE each component calculated eigenvector. Finally, input into SVM vector for...