This paper investigates the impact of dynamic tension induced by adjacent span vibrations on vibrational characteristics overhead conductors. A simplified model is established, considering conductor with a symmetric structure as simply supported flexible long wire subjected to axial time-varying at one end. The transverse motion partial differential equation under formulated and discretized into parametric vibration coefficients using Galerkin method. Based Floquet theory, study...

Compared with traditional two-level inverters, multilevel inverters have many solid-state switches and complex composition methods. Therefore, diagnosing treating inverter faults is a prerequisite for the reliable efficient operation of inverter. Based on idea intelligent complementary fusion, this paper combines genetic algorithm–binary granulation matrix knowledge-reduction method extreme learning machine network to propose fault-diagnosis multi-tube open-circuit in T-type three-level...

Aiming at the problem of speech signal de-noising, this paper presents an adaptive threshold denoising method based on wavelet entropy. The decomposes with noise by transform, and calculates entropy decomposed in each sub-interval. It combines to determine high frequency coe‐cients. Compromised index function is proposed denoise signal, then denoised reconstructed. Finally, compares de-noising performance method, minimaxi sqtwolog rigrsure method. simulation results show that when input...

Epilepsy is a neurological disorder, caused by various genetic and acquired factors. Electroencephalogram (EEG) an important means of diagnosis for epilepsy. Aiming at the low efficiency clinical artificial epilepsy signals, this paper proposes automatic detection algorithm based on multifeature fusion convolutional neural network. Firstly, in order to retain spatial information between multiple adjacent channels, two-dimensional Eigen matrix constructed from one-dimensional eigenvectors...

The characteristics of AlGaN/GaN Schottky diodes as polar liquid sensors are reported. Circular structures, with a gate metal diameter 200 μm, designed and fabricated by using optical lithography process. Ni/Au Ti/Al/Ni/Au metals used the contact ohmic contact, respectively. exhibit large changes in reverse leakage current at bias −20 V response to surface exposed various liquids, such acetone ethanol. effective barrier height is also changed liquids. nature liquids leads change charges,...

The phase-sensitive optical time-domain reflectometer (φ-OTDR) is commonly used in various industries such as oil and gas pipelines, power communication networks, safety maintenance, perimeter security. However, one challenge faced by the φ-OTDR system low pattern recognition accuracy. To overcome this issue, a Dendrite Net (DD)-based method proposed to differentiate vibration signals detected system, normalize differential with original for feature extraction. These features serve input...

With the continuous development of power Internet Things (PIoT), smart devices (SDs) have been widely used in electric inspections. Due to limited resources intelligent inspection SDs and distance overhead transmission lines, many tasks cannot be processed promptly. This paper proposes a multi-hop-based end-edge cooperative computing (MHCC) scheme address task processing IoT. We formulate multi-hop offloading problem that minimizes energy consumption with delay constraints. develop JDPSO...

Recognizing micro-expressions (MEs) as subtle and transient forms of human emotional expressions is critical for accurately judging feelings. However, recognizing MEs challenging due to their low-intensity characteristics. This study develops a lightweight shallow dual-group symmetric attention network (SDGSA) address the limitations existing methods in capturing features MEs. takes optical flow inputs, extracting ME through performing finer feature segmentation channel dimension strategy....

In order to reduce false alarm and failure of fire detection system, a research method based on multi-sensor data fusion was conducted. this research, probabilistic neural networks (PNN) algorithm employed detect texture features from scene. Information temperature smoke concentration were processed by trend separately. Results the above three algorithms through decision level accomplish automatic alarm. It has been demonstrated that platform can faster more accurately discard nuance...

Considering the non-periodic and non-stationary signatures of series arc fault current signals, a time-frequency analyzing method for faults detection is presented based on short-time Fourier transform. The algorithm STFT using Hanning window function described in detail, which length sliding step parameters are discussed to obtain 20ms time-resolution 25Hz frequency-resolution. relationship between variations even order harmonics, odd harmonics 50Hz fundamental component under arcing...

Abstract The Adaptive Neuro‐Fuzzy Inference System (ANFIS) is proposed to simulate and analyze the mapping between physical properties of tactile textures people's affective responses. People were asked rate feeling 37 against six pairs adjectives on a semantic differential questionnaire. friction coefficient, average roughness, compliance, thermal parameter each texture measured. ANFIS models built predict responses textures. resulting demonstrated good match predicted actual responses,...

The state assessment of power transformer is the precondition and key to realize maintenance. fault system can be recognized as a typical grey system. A new method given recognize without standard model. It introduces target theory into assignment transformer. Combining popular technology dissolved gases analyses, arithmetic step for given. uses variable weight replace equal weight, which closer actual Variable ascertained by contribution degree technology. experiment results show it...

The type of power fiber optic cable fault event obtained by analyzing the optical time domain reflectometer (OTDR) detection curve is an important basis for ensuring operation quality communication lines. To address issue low accuracy in recognizing patterns, this research proposes AVOA-LightGBM method pattern recognition based on wavelet packet decomposition. Initially, a three-layer decomposition performed different events, resulting eight characteristic signals. These signals are then...

Brillouin optical time domain reflectometry (BOTDR) detects fiber temperature and strain data represents one of the most critical ways identifying abnormal conditions such as ice coverage lightning strikes on composite overhead ground wire (OPGW) cable. Existing BOTDR extracts brillouin frequency shift (BFS) features with cumulative averaging curve fitting. BFS feature extraction is slow for long-distance measurements, making realizing real-time measurements optic cables challenging. We...

The failure of the power communication network often leads to a cascading system. Evaluating potential risks in is crucial ensure stable operation This paper proposes comprehensive risk assessment method for qualitative and quantitative measures. Firstly, an index system assessment, considering both static structure dynamic operation, established. optimal weight each determined using combination game weighting method. Additionally, model established by coupling gray cloud theory...