Application of the sliding innovation filter for fault detection and diagnosis of an electromechanical system

Sliding innovation filter to estimate power converters of electric vehicles

“…However, there are various challenges to achieving optimal performance due to the presence of several obstacles, such as limited measured signals, non-measured or hidden states, and disturbances and noise. In the field of estimation, the sliding innovation filter (SIF) [21][22][23][24][25][26][27][28][29] is a commonly used filter derived from the sliding mode theory. The SIF is known for its resilience to shocks and uncertainty and employs a system model to provide an initial estimate, which is then stimulated by input from the system.…”

Estimating the complex maneuvering of a UGV using IMM-SIF

“…Filtering estimating methods that employ stability functions like Lyapunov functions fall under the second class of methods. Sliding mode observers (SMOs) , smooth variable structure filters (SVSFs) [87][88][89][90][91][92][93][94][95][96][97][98][99][100][101][102][103], and sliding innovation filters (SIFs) [104][105][106][107][108][109][110][111][112] are only a few examples. Some of the drawbacks of the first group are mitigated by SMO, SVSF, and SIF filters.…”

FPGA to study the behavior of a maneuvering UGV using sliding innovation filter

“…The Sliding Innovation Filter (SIF) [1][2][3][4][5] is a model-based filter [6][7][8][9][10][11][12][13][14][15][16][17][18][19][20][21][22][23] that can be used in signal processing, fault detection, and diagnosis applications [24][25][26][27][28][29]. This type of filter utilizes a predefined model that replicates the system under investigation, and apply the input signal to stimulate that model.…”