Research of DC Panel Battery Fault Detection Method

2014 ◽  
Vol 635-637 ◽  
pp. 722-725
Author(s):  
Mao Fa Gong ◽  
Hui Ting Ge ◽  
Zheng Gong ◽  
Yu Qing Lin ◽  
Bing Qian Liu ◽  
...  

This paper elaborates the DC screen and battery DC screen fault detection method. The method of measuring battery’s internal resistance and voltage is analyzed and studied in this paper, and the two methods are optimized. Besides, the structure of the battery internal resistance, internal resistance equivalent principle and other aspects are also introduced in this paper. The optimal measurement scheme can be chosen by comparing the internal resistance measurement of DC discharge method and the AC signal injection method.

2022 ◽  
Vol 2022 ◽  
pp. 1-15
Author(s):  
Feng Cai ◽  
Ke Li ◽  
Xiaodong Sun

Electrically excited synchronous motor (EESM) is widely used in many large equipment drives because of its strong overload capacity, high efficiency, and adjustable power factor. The research and development of a high-performance EESM control system can realize the high combination of energy-saving speed regulation and green environmental protection and has a high social effect and economic value. In this paper, the signal injection method is used to obtain the initial rotor position information of EESM. Sliding Fourier transform is used to improve the initial position angle detection method based on the rotor signal injection method, and the improved method is compared with the traditional voltage integration method. Rotor high-frequency signal injection method was used to detect the rotor position information of the motor during operation, and the influence of the damping winding on the rotor signal injection method was analyzed. On the premise that the damping winding had no influence on the method, a method of obtaining the rotor position information of EESM without a speed sensor was designed. Finally, the speed sensorless regulation system using the initial rotor position detection method is simulated, which verifies the accuracy of the proposed speed sensorless control scheme.


Author(s):  
Weihai Sun ◽  
Lemei Han

Machine fault detection has great practical significance. Compared with the detection method that requires external sensors, the detection of machine fault by sound signal does not need to destroy its structure. The current popular audio-based fault detection often needs a lot of learning data and complex learning process, and needs the support of known fault database. The fault detection method based on audio proposed in this paper only needs to ensure that the machine works normally in the first second. Through the correlation coefficient calculation, energy analysis, EMD and other methods to carry out time-frequency analysis of the subsequent collected sound signals, we can detect whether the machine has fault.


2010 ◽  
Vol 24 (2) ◽  
pp. 131-136 ◽  
Author(s):  
Ze Cheng ◽  
Bingfeng Li ◽  
Li Liu ◽  
Yanli Liu

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