A novel method for detection of abrupt signal changes in water quality sensors onboard autonomous underwater vehicles
Autonomous underwater vehicles (AUV) are equipped with a variety of water quality sensors.In this paper,we apply wavelet analysis theory to signals acquired by the AUV and develop a tool for identifying such malfunctions.This paper proposes an abrupt signal change detection method based on wavelet transforms.By selecting a threshold for the high-frequency wavelet coefficients,we were able to detect the abrupt signal.Three evaluation criteria were used in this study to assess signal-to-noise quality.These were combined with experimental analysis,noise detection,and a denoising method which is appropriate for detecting abrupt signal changes.
Water quality sensors abrupt change wavelet basis functions threshold rules
Jie Shen Xijun Yan Zhen Sun Guofang Lv Hui Gu
College of Computer and Information Hohai University Nanjing, China
国际会议
秦皇岛
英文
1276-1281
2015-09-18（万方平台首次上网日期，不代表论文的发表时间）