A novel fault early warning method for mechanical equipment based on improved MSET and CCPR

Health status assessment of unmanned aerial vehicle (UAV) attitude control system based on an improved multivariate state estimation method

“…The construction of the memory matrix is the key to the performance of MSET [24] . The traditional method usually uses a fixed memory matrix, and the construction method is prone to cause information redundancy to reduce the overall computational speed on the one hand, and on the other hand, the estimation accuracy based on a fixed memory matrix may degrade over time because the operating conditions are constantly changing and may require frequent maintenance [27] . Therefore, it is necessary to improve the flexibility of memory matrix construction.…”

“…The initial memory matrix constructed using this method not only has better flexibility, but also helps remove redundant vectors in the matrix by clustering, and it can reduce useless calculations in the traditional MSET [27] . Moreover, to obtain the dynamic memory matrix, the steps for calculating the dynamic memory matrix of the observation process using the KNN algorithm are as follows:…”

“…The constructed judgment matrices are positive reciprocal matrices. The definition of a judgment matrix 𝐵 is as follows: (27) where 𝑛 = 19 represents the number of indicators; 𝐶 𝑖 𝑗 = 𝑓 (𝑥 𝑖 , 𝑥 𝑗 ) denotes the scale of importance for com- Step 4: Consistency Check. After constructing judgment matrix 𝐵, a consistency check is required to ensure the logical validity of the weight selection.…”