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• W2535714578 abstract "This paper proposes an alternative fault detection (FD) scheme, in which the so-called residual signals are generated by means of a projection of process input data. This is the major difference to the existing model-based and data-driven FD schemes, where residual generator is realized based on the process input and output relationship/dynamics. Moreover, this way of residual generation avoids the parameter identification procedure and also allows us to address deterministic disturbances (unknown inputs), which be paid often less attention by data-driven FD methods. In this fashion, the FD issue reduces to detect change of a random matrix. Since it is difficult to directly measure this change, so the trace of a matrix is adopted as the evaluation function. Furthermore, the threshold can be set by considering the boundedness of disturbance. The effectiveness of the proposed method is verified by a simulation study on an inverted pendulum system." @default.
• W2535714578 created "2016-10-28" @default.
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• W2535714578 date "2017-01-01" @default.
• W2535714578 modified "2023-09-29" @default.
• W2535714578 title "An alternative data-driven fault detection scheme for dynamic processes with deterministic disturbances" @default.
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• W2535714578 doi "https://doi.org/10.1016/j.jfranklin.2016.10.031" @default.
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