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Aimed to eliminate the lift-off effect on the accuracy of the result of Barkhausen noise detection, this Letter simulated three conditions of the yoke by Ansoft. After studying the simulation results, it proposed a new sensor structure, utilising the mechanical structure of the spring to eliminate the lift-off of the pick-up coil and the BP neural network was adopted to optimise the detected magnetic...
Aerosol optical depth (AOD), one of the key factors affecting the atmosphere visibility, has great influence on the prediction of radiation intensity and photovoltaic power generation. Considering the problem that AOD is difficult to obtain real-timely and conveniently with high accuracy, in this paper, PM2.5 concentration, PM10 concentration and temperature, wind speed grade and relative humidity...
Attempting to avoid severe malfunction, save cost and reduce risk which could lead to serious impact on an operating subway system, applying proper maintenance modes would be critical for all installed equipment. Literature review about maintenance strategy shows that application of Data Mining algorithm and computer assisting system would be a good way for improving maintenance efficiency. The article...
Pattern recognition based on myoelectric speed control is critical for neural-controlled powered lower limb prostheses. We preliminarily investigated the performance of surface electromyography signals used to identify movement modes with different speeds. The pattern recognition was tested on electromyography data collected from five muscles of sixteen able-bodied subjects. The BP neural network...
In the operation of grid-connected photovoltaic power stations, a large amount of harmonic current is injected into distribution network, which reduces the power quality of distribution network. In the paper, the Static Var Generator (SVG) is added to the outlet of the photovoltaic power station, by using the feedforward control strategy for the voltage, SVG can effectively suppress the harmonic current...
The photoelectric conversion efficiency of photovoltaic cells is mainly affected by two factors, two factors are the operating temperature of the photovoltaic cell and the irradiance of the sun. In order to improve the photoelectric conversion efficiency of photovoltaic cells, combining with the two factors that affect photoelectric conversion efficiency of photovoltaic cells and the merits and demerits...
Surface electromyography (sEMG) is widely used in clinical diagnosis, rehabilitation engineering and humancomputer interaction and other fields. In this paper, we use Myo armband to collect sEMG signals. Myo armband can be worn above any elbow of any arm and it can capture the bioelectric signal generated when the arm muscles move. MYO can pass of signals through its low-power Blue-tooth, and its...
New ADCP(Acoustic Doppler current profiler) can estimate surface wave based on current measurement. Now existing background correction algorithm only considers current amplitude, TRDI ADCP commercial software WAVESMON suggest if current amplitude is greater than 0.75m/s, wave estimation should be corrected for background current. The research shows that when background exists, background current amplitude,...
Predicting zeroes precisely and rapidly after a fault initiation is the basis of controlled fault interruption. However, none available algorithms could predict current zeroes within several milliseconds. The objective of this paper is to propose a fast estimation algorithm that can predict current zeros within 3ms after fault initiation. An algorithm is proposed based on an improved BP network. In...
Accurate and real-time water quality assessment is an important way to ensure healthy aquaculture and protect the water environment. Due to the diversity, nonlinear and uneven distribution of aquaculture water quality parameters, it's very difficulty to assess the water quality. In this paper, the accurate water quality parameters are obtained by an adaptive weighted fusion method, then the water...
In the actual production process, the prediction of compressive strength of concrete 28d is of great significance. Prediction of compressive strength of concrete is a typical multi input single output nonlinear systems, which is very close to the BP neural network model. In this paper, the BP neural network is applied to the prediction of the compressive strength of concrete, but the training effect...
To solve the problem of low recognition rate which is the existing identification methods of partial discharge faults, a new method was designed with wavelet, singular value and improved particle swarm algorithm to optimize the BP neural network. First, using continuous wavelet and singular value decomposition to get the signal characteristic value; then combined with the significance of inertia weight...
In this paper using BP neural network as core algorithm, Java and MATLAB as development tools, build a fault intelligent analysis system of electric energy data acquire network which have machine self-learning ability. This diagnosis system adopts the model of cloud computing in structure, artificial intelligence calculation in the cloud, friendly humancomputer interaction at the front-end. Lab simulation...
Based on the method of Skeletonization, the concept of influence factor is introduced in this paper. A method for trimming the fat from a Back Propagation (BP) neural network is proposed by modifying weight and influence factor alternately, and node with the least influence factor was deleted. This method is applied to modeling superheated steam temperature system of plant station. Simulation results...
The state monitoring issue of the induced draft fan in a thermal power plant by employing the gravitational searching algorithm optimized BP neural network is investigated in this paper. A new method to estimate the air quantity of the induced draft air of a thermal power plant is proposed based on the historical operation data extracted from the supervisory information system (SIS). In order to predict...
Storage reliability of the ammunition dominates the efforts in achieving the mission reliability goal. Prediction of storage reliability is important in practice to monitor the ammunition quality. In this paper we provided an integrated method where particle swarm optimization (PSO) algorithm is applied to adjust and optimize the BP neural network global parameters (weights and thresholds). The experiment...
This paper takes the isolated bidirectional dual active bridge (DAB) dc-dc converter with triple-phase-shift (TPS) control as the research object. A novel controller design method based on the ant colony optimization (ACO) through time-domain performance feedback is proposed, where a simulation model is required rather than a mathematical one. On this basis, the second order controller for DAB is...
This paper aims to classify normal/abnormal heart sound signals from PhysioNet/CinC challenge 2016. The heart sound signals are segmented into four states, i.e., the first heart sound, systolic interval, the second heart sound, and diastolic interval. Multi-features are extracted from time domain, frequency domain and entropy, which are formed into three features sets. The first features set includes...
In view of monitoring of water quality in Penaeus vannamei culture pond, this paper puts forward a method of two-level data fusion which is usually used to solve the problems of limited resources such as network energy, storage capacity and processing capacity of wireless sensor networks. The data transmitted from the sensor group distributed in the field can be processed and compressed to obtain...
A power transformer fault diagnosis method based on Improved Particle Swarm Optimization and BP neural network is proposed. The particle swarm algorithm that used to optimize the parameters of the BP neural network is prone to “premature”. By optimizing the inertia weight, in the process of increasing the number of iterations, the inertia weight can be gradually reduced, and the algorithm can avoid...
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