Identification of DC motor driven load switch jamming fault based on improved dynamic time warping
HUANG Haiyan1, GAO Wei1, QIU Shida2, YANG Gengjie1
1. College of Electrical Engineering and Automation, Fuzhou University, Fuzhou 350108; 2. Longyan Power Supply Company, State Grid Fujian Electric Power Co., Ltd, Longyan, Fujian 362300
Abstract：The load switch may experience jamming during operation, and the current pattern of its energy storage motor can effectively reflect the mechanical state of the switch. Therefore, this paper proposes a fault detection method for load switch jamming based on improved dynamic time warping (IDTW). Firstly, the motor current signal is processed in real time using sliding mean filtering to filter out interfering signals. Secondly, the start and stop criteria for action current recording are formulated to ensure that the complete motor action current is recorded. Thirdly, the dynamic time warping (DTW) is improved by distance formula adjustment, algorithm acceleration and storage space optimization. Taking the current signal of the normal state of the switch as the standard waveform, the IDTW is used to calculate the standardized distance between the comparison waveform and the standard waveform, of which the boundary threshold is formulated to realize the identification of the switch state. Finally, a set of online diagnostic terminals is designed to realize the engineering of the proposed algorithm. The experimental results show that the proposed method has strong adaptability, and the identification accuracy of two types of load switches can reach 99% and 99.37% respectively. The designed on-line diagnosis terminal can complete the identification of the load switch jamming state in a short time.
2024, Vol. 25 
