WANG Yuan, ZHAO Zhen-gang, XU Jun-fei, et al. Monitoring of fiber Bragg grating for slope surface and adaptive Kalman filtering model[J]. 2017, 36(1): 38-40+44.
WANG Yuan, ZHAO Zhen-gang, XU Jun-fei, et al. Monitoring of fiber Bragg grating for slope surface and adaptive Kalman filtering model[J]. 2017, 36(1): 38-40+44. DOI: 10.13873/J.1000-9787(2017)01-0038-03.
边坡光纤光栅监测与自适应卡尔曼滤波模型
摘要
山地变电站往往建设在地质条件复杂性的位置。地表裂变
突起
土体缓变
往往诱发更严重的地质灾害。结合楚雄220 k V边坡变电站的工程实际情况
利用光纤Bragg光栅(FBG)传感器
进而实现了对大型复杂结构环境的多参量、多点监测。通过建立自适应卡尔曼跟踪滤波模型
对边坡表面应变传感器
温度补偿传感器的数据
进行跟踪滤波
从而得到更为有效的监测数据。
Abstract
Mountain electric substations are always built in the location of the complex geological conditions.Surface cracking
bluging
and soil slowly changing often induce more serious geological disasters. In combination with the engineering practice of Chuxiong 220 k V substation on the slope
fiber Bragg grating( FBG) sensors are used to realize the multi parameters monitoring and multi points monitoring of large complex structure environment. Through the establishment of adaptive Kalman tracking filter model
tracking filtering on slope surface strain sensors data and temperature compensation sensors data is carried out
Robust Adaptive Kalman Filter for estimation of UAV dynamics in the presence of sensor/actuator faults [J] . Chingiz Hajiyev,Halil Ersin Soken. Aerospace Science and Technology . 2013 (1)
Optimization approach to adapt Kalman filters for the real-time application of accelerometer and gyroscope signals’ filtering [J] . Cezary Kownacki. Digital Signal Processing . 2010 (1)
Adaptive estimation of multiple fading factors in Kalman filter for navigation applications [J] . Yanrui Geng,Jinling Wang. GPS Solutions . 2008 (4)