The corresponding relationship between magnetic induction intensity and GMM strain was analyzed theoretically. The finite element software COMSOL Multiphysics was used to select and compare the transducer, and the static simulation analysis of the bias magnetic field was carried out. Taking the axial magnetic induction intensity and magnetic field heterogeneity of GMM rod as optimization evaluation indexes, the optimal magnetic circuit design scheme was determined by optimizing the transducer shell material, the relative permeability of magnetic block and the structural parameters of permanent magnet. The two indexes were significantly improved, and the magnetic leakage was reduced, and clear test results were obtained.
Aiming at the advantages of processing time series data, an excellent variant network seq2seq of recurrent neural network is constructed, and the basic unit of the network adopts LSTM, and a wind turbine fault prediction method based on SCADA data is proposed. The method first reduces the dimensionality of a certain sequence length through the encoder and decoder of SEQ2SEQ, and then predicts the magnitude of the active power through the fully connected layer, and then calculates the residual size between the predicted value of the active power and the actual value to analyze the operating state of the wind turbine, and finally verifies the method with obvious fault data. The results show that this method detects the abnormal occurrence of the wind turbine 6 days earlier than the alarm time of the SCADA system, which provides a technical guarantee to avoid the further deterioration of the wind turbine failure.
The pipeline leak detection and leak location problem have gotten extensive attention in the industry. In this paper, the distributed optical fiber sensing system is designed based on the heat supply pipeline. The data processing method of distributed optical fiber sensing based on LabVIEW is studied emphatically. The hardware system includes laser, sensing optical fiber, wavelength division multiplexer, photoelectric detector, data acquisition card and computer etc. The software system is developed using LabVIEW. The software system adopts wavelet denoising method to deal with the temperature information, which improved the SNR. By extracting the characteristic value of the fiber temperature information, the system can realize the functions of temperature measurement, leak location and measurement signal storage and inquiry etc. Compared with traditional negative pressure wave method or acoustic signal method, the distributed optical fiber temperature measuring system can measure several temperatures in one measurement and locate the leak point accurately. It has a broad application prospect.
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