Currently, the number of on-site installation acquisition terminals and energy meters in the power system is very large. Because of the complexity of the environment, result in more on-site measurement of failure to field operation and maintenance personnel a great deal of pressure, there is an urgent need for fast, automated troubleshooting and fault diagnosis of the metering device. However, at present the domestic market has not specifically for the measurement of field fault detection device. And on-line monitoring fault diagnosis system reported in the literature, can only diagnose the communication of the metering device, which is difficult to meet the actual needs. This paper proposes a portable fault site investigation and diagnosis device for energy metering equipment. The proposed device can be applied to the field of energy metering equipment maintenance, which is proved by our experiments.
Currently, the number of on-site installation acquisition terminals and energy meters in the power system is very large. Because of the complexity of the environment, result in more on-site measurement of failure to field operation and maintenance personnel a great deal of pressure, there is an urgent need for fast, automated troubleshooting and fault diagnosis of the metering device. However, at present the domestic market has not specifically for the measurement of field fault detection device. And on-line monitoring fault diagnosis system reported in the literature, can only diagnose the communication of the metering device, which is difficult to meet the actual needs. This paper proposes a fault detection device for energy metering equipment. The proposed device can be applied to the field of energy metering equipment maintenance, which is proved by our experiments. 1
In order to solve the problem of seasonal distribution transformer overload in distribution network, especially in rural power grid, an intelligent energy storage device for distributed distribution station area is developed in this paper. The device is connected in parallel to the main line of 380V low voltage line in the distribution station area. The device can compensate the power of the overload distribution transformer, and alleviate the low voltage problem at the head end of the substation area caused by 10kV line overload or distribution transformer heavy overload. This paper introduces the working principle, control strategy, software and hardware design scheme of intelligent energy storage device in distributed distribution station area. The correctness and effectiveness of the device are verified by field operation.
Considering the problem of residual noise and spurious modes in the complete ensemble empirical mode decomposition with adaptive noise (CEEMDAN), a rolling element bearing malfunction diagnostic method based on improved CEEMDAN (ICEEMDAN) is proposed. First, different from the CEEMDAN, which directly adds Gaussian white noise with a mean of zero, the proposed method adds the [Formula: see text]th component obtained from white noise decomposed by empirical mode decomposition (EMD) to the vibration signal, and then the ICEEMDAN is employed to decompose the signal into several intrinsic mode functions (IMFs). Second, aiming at the uncertainty problem of entropy estimation in multi-scale fuzzy entropy (MFE), a refined composite multi-scale fuzzy entropy (RCMFE) is proposed to obtain the characteristic from the selected IMFs. Finally, smoothing factor of PNN is determined by fruit fly optimization algorithm (FOA), and the extracted features are input into the FOA-PNN model to achieve condition identification. Experimental results illustrate that the identification accuracy is more than 99%, which indicates its high effectiveness and superiority.
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