光伏电池温度变化影响光伏系统输出的稳定性,精准地预测光伏电池板温度的变化趋势,对光伏系统智能运行具有重要意义.为了更好地预测温度的变化趋势,本文考虑了光伏电池板温度的迟滞效应,将先前的温度输出作为延迟项引入回声状态网中,提...光伏电池温度变化影响光伏系统输出的稳定性,精准地预测光伏电池板温度的变化趋势,对光伏系统智能运行具有重要意义.为了更好地预测温度的变化趋势,本文考虑了光伏电池板温度的迟滞效应,将先前的温度输出作为延迟项引入回声状态网中,提出了一种基于延迟回声状态网的光伏电池板温度预测模型.给出一个延迟回声状态网具有回声状态特性的判定条件,使得预测模型能够稳定地预测光伏电池板温度.同时,建立了一套光伏多传感器监测系统,利用该监测系统采集的数据,训练和验证模型的准确性.与回声状态网(Echo state network,ESN),Leaky ESN(Leaky-integrator ESN)和VML ESN(ESN with variable memory length)相比,仿真结果表明,本文所提出的延迟回声状态网具有更好的预测性能,平均绝对百分比误差甚至达到3.45%.展开更多
In underwater target detection, the bottom reverberation has some of the same properties as the target echo, which has a great impact on the performance. It is essential to study the difference between target echo and...In underwater target detection, the bottom reverberation has some of the same properties as the target echo, which has a great impact on the performance. It is essential to study the difference between target echo and reverberation. In this paper, based on the unique advantage of human listening ability on objects distinction, the Gammatone filter is taken as the auditory model. In addition, time-frequency perception features and auditory spectral features are extracted for active sonar target echo and bottom reverberation separation. The features of the experimental data have good concentration characteristics in the same class and have a large amount of differences between different classes, which shows that this method can effectively distinguish between the target echo and reverberation.展开更多
Underwater acoustic scattering echoes have time–space structures and are aliasing in time and frequency domains. Different series of echoes properties are not identified when incident angle is unknown. This article i...Underwater acoustic scattering echoes have time–space structures and are aliasing in time and frequency domains. Different series of echoes properties are not identified when incident angle is unknown. This article investigates variations in target echoes of monostatic sonar to address this problem. The mother wavelet with similar structures has been proposed on the basis of preprocessing signal waveform using matched filter, and the theoretical expressions between delay factor and incident angle are derived in the wavelet domain. Analysis of simulation data and experimental results in free-field pool show that this method can effectively separate geometrical scattering components of target echoes. The time delay estimation obtained from geometrical echoes at a single angle is consistent with target geometrical features, which provides a basis for object recognition without angle information. The findings provide valuable insights for analyzing elastic scattering echoes in actual ocean environment.展开更多
文摘光伏电池温度变化影响光伏系统输出的稳定性,精准地预测光伏电池板温度的变化趋势,对光伏系统智能运行具有重要意义.为了更好地预测温度的变化趋势,本文考虑了光伏电池板温度的迟滞效应,将先前的温度输出作为延迟项引入回声状态网中,提出了一种基于延迟回声状态网的光伏电池板温度预测模型.给出一个延迟回声状态网具有回声状态特性的判定条件,使得预测模型能够稳定地预测光伏电池板温度.同时,建立了一套光伏多传感器监测系统,利用该监测系统采集的数据,训练和验证模型的准确性.与回声状态网(Echo state network,ESN),Leaky ESN(Leaky-integrator ESN)和VML ESN(ESN with variable memory length)相比,仿真结果表明,本文所提出的延迟回声状态网具有更好的预测性能,平均绝对百分比误差甚至达到3.45%.
基金the National Natural Science Foundation of China
文摘In underwater target detection, the bottom reverberation has some of the same properties as the target echo, which has a great impact on the performance. It is essential to study the difference between target echo and reverberation. In this paper, based on the unique advantage of human listening ability on objects distinction, the Gammatone filter is taken as the auditory model. In addition, time-frequency perception features and auditory spectral features are extracted for active sonar target echo and bottom reverberation separation. The features of the experimental data have good concentration characteristics in the same class and have a large amount of differences between different classes, which shows that this method can effectively distinguish between the target echo and reverberation.
基金Foundation item： Supported by the National Natural Science Foundation of China（Grant No.51279033） and Natural Science Foundation of Heilongjiang Province, China（Grant No.F201346 ）
文摘Underwater acoustic scattering echoes have time–space structures and are aliasing in time and frequency domains. Different series of echoes properties are not identified when incident angle is unknown. This article investigates variations in target echoes of monostatic sonar to address this problem. The mother wavelet with similar structures has been proposed on the basis of preprocessing signal waveform using matched filter, and the theoretical expressions between delay factor and incident angle are derived in the wavelet domain. Analysis of simulation data and experimental results in free-field pool show that this method can effectively separate geometrical scattering components of target echoes. The time delay estimation obtained from geometrical echoes at a single angle is consistent with target geometrical features, which provides a basis for object recognition without angle information. The findings provide valuable insights for analyzing elastic scattering echoes in actual ocean environment.
