A data compression scheme for real-time fault detection and identification of linear time invariant systems

This paper describes an interrogation based fault detection and identification (FDI) scheme for a class of large scale systems which are linear time-invariant. The formulation is suitable for implementation on digital signal processors which can operate in a real-time environment. Furthermore, a data compression scheme is presented which reduces the total amount of data to be stored and processed from (n³+n ²) to (n²+n)